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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/******************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * (C) 2014 markummitchell@github.com. This file is part of Engauge Digitizer, which is released *</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * under GNU General Public License version 2 (GPLv2) or (at your option) any later version. See file *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * LICENSE or go to gnu.org/licenses for details. Distribution requires prior written permission. *</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> ******************************************************************************************************/</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "ColorFilter.h"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "DocumentModelPointMatch.h"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "EngaugeAssert.h"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "Logger.h"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "PointMatchAlgorithm.h"</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <QFile></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <QImage></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <qmath.h></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <QTextStream></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#define FOLD2DINDEX(i,j,jmax) ((i)*(jmax)+j)</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">const</span> <span class="keywordtype">int</span> PIXEL_OFF = -1; <span class="comment">// Negative of PIXEL_ON so two off pixels are just as valid as two on pixels when</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// multiplied. One off pixel and one on pixel give +1 * -1 = -1 which reduces the correlation</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">const</span> <span class="keywordtype">int</span> PIXEL_ON = 1; <span class="comment">// Arbitrary value as long as negative of PIXEL_OFF</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classPointMatchAlgorithm.html#a8764d5b714072df498bdf279c66d470b"> 26</a></span> <a class="code" href="classPointMatchAlgorithm.html#a8764d5b714072df498bdf279c66d470b">PointMatchAlgorithm::PointMatchAlgorithm</a>(<span class="keywordtype">bool</span> isGnuplot) :</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  m_isGnuplot (isGnuplot)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::PointMatchAlgorithm"</span>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keywordtype">void</span> PointMatchAlgorithm::allocateMemory(<span class="keywordtype">double</span>** array,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  fftw_complex** arrayPrime,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordtype">int</span> height)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::allocateMemory"</span>;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  *array = <span class="keyword">new</span> <span class="keywordtype">double</span> [width * height];</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  ENGAUGE_CHECK_PTR(*array);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  *arrayPrime = <span class="keyword">new</span> fftw_complex [width * height];</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  ENGAUGE_CHECK_PTR(*arrayPrime);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keywordtype">void</span> PointMatchAlgorithm::assembleLocalMaxima(<span class="keywordtype">double</span>* convolution,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  PointMatchList& listCreated, </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordtype">int</span> height)</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::assembleLocalMaxima"</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// Ignore tiny correlation values near zero by applying this threshold</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> SINGLE_PIXEL_CORRELATION = 1.0;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < width; i++) {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < height; j++) {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Log is used since values are otherwise too huge to debug (10^10)</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">double</span> convIJ = log10 (convolution[FOLD2DINDEX(i, j, height)]);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Loop through nearest neighbor points</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">bool</span> isLocalMax = <span class="keyword">true</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> iDelta = -1; (iDelta <= 1) && isLocalMax; iDelta++) {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">int</span> iNeighbor = i + iDelta;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">if</span> ((0 <= iNeighbor) && (iNeighbor < width)) {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> jDelta = -1; (jDelta <= 1) && isLocalMax; jDelta++) {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">int</span> jNeighbor = j + jDelta;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">if</span> ((0 <= jNeighbor) && (jNeighbor < height)) {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Log is used since values are otherwise too huge to debug (10^10)</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">double</span> convNeighbor = log10 (convolution[FOLD2DINDEX(iNeighbor, jNeighbor, height)]);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span> (convIJ < convNeighbor) {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  isLocalMax = <span class="keyword">false</span>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (convIJ == convNeighbor) {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="comment">// Rare situation. In the event of a tie, the lower row/column wins (an arbitrary convention)</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span> ((jDelta < 0) || (jDelta == 0 && iDelta < 0)) {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  isLocalMax = <span class="keyword">false</span>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> (isLocalMax &&</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  (convIJ > SINGLE_PIXEL_CORRELATION) ) {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Save new local maximum</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classPointMatchTriplet.html">PointMatchTriplet</a> t (i,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  j,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  convolution [FOLD2DINDEX(i, j, height)]);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  listCreated.append(t);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keywordtype">void</span> PointMatchAlgorithm::computeConvolution(fftw_complex* imagePrime,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  fftw_complex* samplePrime,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">int</span> width, <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">double</span>** convolution,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">int</span> sampleXCenter,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">int</span> sampleYCenter)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::computeConvolution"</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  fftw_complex* convolutionPrime;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  allocateMemory(convolution,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  &convolutionPrime,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  width,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  height);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// Perform in-place conjugation of the sample since equation is F-1 {F(f) * F*(g)}</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  conjugateMatrix(width,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  height,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  samplePrime);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Perform the convolution in transform space</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  multiplyMatrices(width,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  height,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  imagePrime,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  samplePrime,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  convolutionPrime);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// Backward transform the convolution</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  fftw_plan pConvolution = fftw_plan_dft_c2r_2d(width,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  height,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  convolutionPrime,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  *convolution,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  FFTW_ESTIMATE);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  fftw_execute (pConvolution);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  releasePhaseArray(convolutionPrime);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// The convolution pattern is shifted by (sampleXExtent, sampleYExtent). So the downstream code</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// does not have to repeatedly compensate for that shift, we unshift it here</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">double</span> *temp = <span class="keyword">new</span> <span class="keywordtype">double</span> [width * height];</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  ENGAUGE_CHECK_PTR(temp);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < width; i++) {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < height; j++) {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  temp [FOLD2DINDEX(i, j, height)] = (*convolution) [FOLD2DINDEX(i, j, height)];</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> iFrom = 0; iFrom < width; iFrom++) {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> jFrom = 0; jFrom < height; jFrom++) {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// Gnuplot of convolution file shows x and y shifts should be positive</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">int</span> iTo = (iFrom + sampleXCenter) % width;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">int</span> jTo = (jFrom + sampleYCenter) % height;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  (*convolution) [FOLD2DINDEX(iTo, jTo, height)] = temp [FOLD2DINDEX(iFrom, jFrom, height)];</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">delete</span> [] temp;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="keywordtype">void</span> PointMatchAlgorithm::conjugateMatrix(<span class="keywordtype">int</span> width,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  fftw_complex* matrix)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::conjugateMatrix"</span>;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  ENGAUGE_CHECK_PTR(matrix);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> x = 0; x < width; x++) {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> y = 0; y < height; y++) {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordtype">int</span> index = FOLD2DINDEX(x, y, height);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  matrix [index] [1] = -1.0 * matrix [index] [1];</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="keywordtype">void</span> PointMatchAlgorithm::dumpToGnuplot (<span class="keywordtype">double</span>* convolution,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> QString &filename)<span class="keyword"> const</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="keyword"></span>{</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::dumpToGnuplot"</span>;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  cout << <span class="stringliteral">"Writing gnuplot file: "</span> << filename.toLatin1().data() << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  QFile file (filename);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">if</span> (file.open (QIODevice::WriteOnly | QIODevice::Text)) {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  QTextStream str (&file);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  str << <span class="stringliteral">"# Suggested gnuplot commands:"</span> << endl;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  str << <span class="stringliteral">"# set hidden3d"</span> << endl;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  str << <span class="stringliteral">"# splot \""</span> << filename << <span class="stringliteral">"\" u 1:2:3 with pm3d"</span> << endl;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  str << endl;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  str << <span class="stringliteral">"# I J Convolution"</span> << endl;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < width; i++) {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < height; j++) {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordtype">double</span> convIJ = convolution[FOLD2DINDEX(i, j, height)];</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  str << i << <span class="stringliteral">" "</span> << j << <span class="stringliteral">" "</span> << convIJ << endl;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  str << endl; <span class="comment">// pm3d likes blank lines between rows</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  }</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  file.close();</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"><a class="line" href="classPointMatchAlgorithm.html#a43dc961a4543b51ddc14338b7dca6b55"> 217</a></span> QList<QPoint> <a class="code" href="classPointMatchAlgorithm.html#a43dc961a4543b51ddc14338b7dca6b55">PointMatchAlgorithm::findPoints</a> (<span class="keyword">const</span> QList<PointMatchPixel> &samplePointPixels,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> QImage &imageProcessed,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> <a class="code" href="classDocumentModelPointMatch.html">DocumentModelPointMatch</a> &modelPointMatch,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> Points &pointsExisting)</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::findPoints"</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  << <span class="stringliteral">" samplePointPixels="</span> << samplePointPixels.count();</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// Use larger arrays for computations, if necessary, to improve fft performance</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordtype">int</span> originalWidth = imageProcessed.width();</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordtype">int</span> originalHeight = imageProcessed.height();</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">int</span> width = optimizeLengthForFft(originalWidth);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordtype">int</span> height = optimizeLengthForFft(originalHeight);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// The untransformed (unprimed) and transformed (primed) storage arrays can be huge for big pictures, so minimize</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="comment">// the number of allocated arrays at every point in time</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordtype">double</span> *image, *sample, *convolution;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  fftw_complex *imagePrime, *samplePrime;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// Compute convolution=F(-1){F(image)*F(*)(sample)}</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordtype">int</span> sampleXCenter, sampleYCenter, sampleXExtent, sampleYExtent;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  loadImage(imageProcessed,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  modelPointMatch,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  pointsExisting,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  width,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  height,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  &image,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  &imagePrime);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  loadSample(samplePointPixels,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  width,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  height,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  &sample,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  &samplePrime,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  &sampleXCenter,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  &sampleYCenter,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  &sampleXExtent,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  &sampleYExtent);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  computeConvolution(imagePrime,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  samplePrime,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  width,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  height,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  &convolution,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  sampleXCenter,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  sampleYCenter);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">if</span> (m_isGnuplot) {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  dumpToGnuplot(image,</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  width,</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  height,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="stringliteral">"image.gnuplot"</span>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  dumpToGnuplot(sample,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  width,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  height,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="stringliteral">"sample.gnuplot"</span>);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  dumpToGnuplot(convolution,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  width,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  height,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="stringliteral">"convolution.gnuplot"</span>);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="comment">// Assemble local maxima, where each is the maxima centered in a region</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="comment">// having a width of sampleWidth and a height of sampleHeight</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  PointMatchList listCreated;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  assembleLocalMaxima(convolution,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  listCreated,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  width,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  height);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  qSort (listCreated);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// Copy sorted match points to output</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  QList<QPoint> pointsCreated;</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  PointMatchList::iterator itr;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">for</span> (itr = listCreated.begin(); itr != listCreated.end(); itr++) {</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classPointMatchTriplet.html">PointMatchTriplet</a> triplet = *itr;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  pointsCreated.push_back (triplet.<a class="code" href="classPointMatchTriplet.html#af2c6162b8b8b609b6ad57b2c116ed31d">point</a> ());</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="comment">// Current order of maxima would be fine if they never overlapped. However, they often overlap so as each</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="comment">// point is pulled off the list, and its pixels are removed from the image, we might consider updating all</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="comment">// succeeding maxima here if those maximax overlap the just-removed maxima. The maxima list is kept</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// in descending order according to correlation value</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  releaseImageArray(image);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  releasePhaseArray(imagePrime);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  releaseImageArray(sample);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  releasePhaseArray(samplePrime);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  releaseImageArray(convolution);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">return</span> pointsCreated;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> }</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keywordtype">void</span> PointMatchAlgorithm::loadImage(<span class="keyword">const</span> QImage &imageProcessed,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keyword">const</span> <a class="code" href="classDocumentModelPointMatch.html">DocumentModelPointMatch</a> &modelPointMatch,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keyword">const</span> Points &pointsExisting,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordtype">double</span>** image,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  fftw_complex** imagePrime)</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::loadImage"</span>;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  allocateMemory(image,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  imagePrime,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  width,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  height);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  populateImageArray(imageProcessed, </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  width,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  height,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  image);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  removePixelsNearExistingPoints(*image,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  width,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  height,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  pointsExisting,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  modelPointMatch.<a class="code" href="classDocumentModelPointMatch.html#ae08ac5588bec2386a53a3b453d009236">maxPointSize</a>());</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="comment">// Forward transform the image</span></div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  fftw_plan pImage = fftw_plan_dft_r2c_2d(width,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  height,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  *image,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  *imagePrime,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  FFTW_ESTIMATE);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  fftw_execute(pImage);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> }</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="keywordtype">void</span> PointMatchAlgorithm::loadSample(<span class="keyword">const</span> QList<PointMatchPixel> &samplePointPixels,</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordtype">double</span>** sample,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  fftw_complex** samplePrime,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordtype">int</span>* sampleXCenter,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordtype">int</span>* sampleYCenter,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordtype">int</span>* sampleXExtent,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordtype">int</span>* sampleYExtent)</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> {</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::loadImage"</span>;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="comment">// Populate 2d sample array with same size (width x height) as image so fft transforms will have same</span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="comment">// dimensions, which means their transforms can be multiplied element-to-element</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  allocateMemory(sample,</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  samplePrime,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  width,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  height);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  populateSampleArray(samplePointPixels,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  width,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  height,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  sample,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  sampleXCenter,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  sampleYCenter,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  sampleXExtent,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  sampleYExtent);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="comment">// Forward transform the sample</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  fftw_plan pSample = fftw_plan_dft_r2c_2d(width,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  height,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  *sample,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  *samplePrime,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  FFTW_ESTIMATE);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  fftw_execute(pSample);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> }</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> </div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="keywordtype">void</span> PointMatchAlgorithm::multiplyMatrices(<span class="keywordtype">int</span> width,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  fftw_complex* in1, </div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  fftw_complex* in2,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  fftw_complex* out)</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::multiplyMatrices"</span>;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> x = 0; x < width; x++) {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> y = 0; y < height; y++) {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordtype">int</span> index = FOLD2DINDEX(x, y, height);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  out [index] [0] = in1 [index] [0] * in2 [index] [0] - in1 [index] [1] * in2 [index] [1];</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  out [index] [1] = in1 [index] [0] * in2 [index] [1] + in1 [index] [1] * in2 [index] [0];</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  }</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> }</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keywordtype">int</span> PointMatchAlgorithm::optimizeLengthForFft(<span class="keywordtype">int</span> originalLength)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// LOG4CPP_INFO_S is below</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> INITIAL_CLOSEST_LENGTH = 0;</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="comment">// Loop through powers, looking for the lowest multiple of 2^a * 3^b * 5^c * 7^d that is at or above the original </span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// length. Since the original length is expected to usually be less than 2000, we use only the smaller primes </span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="comment">// (2, 3, 5 and 7) and ignore 11 and 13 even though fftw can benefit from those as well</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordtype">int</span> closestLength = INITIAL_CLOSEST_LENGTH;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> power2 = 1; power2 < originalLength; power2 *= 2) {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> power3 = 1; power3 < originalLength; power3 *= 3) {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> power5 = 1; power5 < originalLength; power5 *= 5) {</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> power7 = 1; power7 < originalLength; power7 *= 7) {</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordtype">int</span> newLength = power2 * power3 * power5 * power7;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">if</span> (originalLength <= newLength) {</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">if</span> ((closestLength == INITIAL_CLOSEST_LENGTH) ||</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  (newLength < closestLength)) {</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="comment">// This is the best so far, so save it. No special weighting is given to powers of 2, although those </span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="comment">// can be more efficient than other </span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  closestLength = newLength;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  }</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  }</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">if</span> (closestLength == INITIAL_CLOSEST_LENGTH) {</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="comment">// No closest length was found, so just return the original length and expect slow fft performance</span></div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  closestLength = originalLength;</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  }</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::optimizeLengthForFft"</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  << <span class="stringliteral">" originalLength="</span> << originalLength</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  << <span class="stringliteral">" newLength="</span> << closestLength;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordflow">return</span> closestLength;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> }</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <span class="keywordtype">void</span> PointMatchAlgorithm::populateImageArray(<span class="keyword">const</span> QImage &imageProcessed,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordtype">double</span>** image)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::populateImageArray"</span>;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Initialize memory with original image in real component, and imaginary component set to zero</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="classColorFilter.html">ColorFilter</a> colorFilter;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> x = 0; x < width; x++) {</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> y = 0; y < height; y++) {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordtype">bool</span> pixelIsOn = colorFilter.<a class="code" href="classColorFilter.html#a3b87a3de7743f4316b6cdd9d83813c99">pixelFilteredIsOn</a> (imageProcessed,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  x,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  y);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  (*image) [FOLD2DINDEX(x, y, height)] = (pixelIsOn ?</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  PIXEL_ON :</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  PIXEL_OFF);</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> }</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> <span class="keywordtype">void</span> PointMatchAlgorithm::populateSampleArray(<span class="keyword">const</span> QList<PointMatchPixel> &samplePointPixels,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordtype">int</span> width,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordtype">int</span> height,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordtype">double</span>** sample,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordtype">int</span>* sampleXCenter,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordtype">int</span>* sampleYCenter,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordtype">int</span>* sampleXExtent,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordtype">int</span>* sampleYExtent)</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> {</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::populateSampleArray"</span>;</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="comment">// Compute bounds</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordtype">bool</span> first = <span class="keyword">true</span>;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i;</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordtype">int</span> xMin = width, yMin = height, xMax = 0, yMax = 0;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">for</span> (i = 0; i < (<span class="keywordtype">unsigned</span> int) samplePointPixels.size(); i++) {</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordtype">int</span> x = (samplePointPixels.at(i)).xOffset();</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordtype">int</span> y = (samplePointPixels.at(i)).yOffset();</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">if</span> (first || (x < xMin))</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  xMin = x;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">if</span> (first || (x > xMax))</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  xMax = x;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">if</span> (first || (y < yMin))</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  yMin = y;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">if</span> (first || (y > yMax))</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  yMax = y;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  first = <span class="keyword">false</span>;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  }</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> border = 1; <span class="comment">// #pixels in border on each side</span></div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  xMin -= border;</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  yMin -= border;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  xMax += border;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  yMax += border;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="comment">// Initialize memory with original image in real component, and imaginary component set to zero</span></div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordtype">int</span> x, y;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">for</span> (x = 0; x < width; x++) {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">for</span> (y = 0; y < height; y++) {</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  (*sample) [FOLD2DINDEX(x, y, height)] = PIXEL_OFF;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  }</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  }</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="comment">// We compute the center of mass of the on pixels. This means user does not have to precisely align</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// the encompassing circle when selecting the sample point, since surrounding off pixels will not</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// affect the center of mass computed only from on pixels</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordtype">double</span> xSumOn = 0, ySumOn = 0, countOn = 0;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">for</span> (i = 0; i < (<span class="keywordtype">unsigned</span> int) samplePointPixels.size(); i++) {</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="comment">// Place, quite arbitrarily, the sample image up against the top left corner</span></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  x = (samplePointPixels.at(i)).xOffset() - xMin;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  y = (samplePointPixels.at(i)).yOffset() - yMin;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  ENGAUGE_ASSERT((0 < x) && (x < width));</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  ENGAUGE_ASSERT((0 < y) && (y < height));</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordtype">bool</span> pixelIsOn = samplePointPixels.at(i).pixelIsOn();</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span> </div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  (*sample) [FOLD2DINDEX(x, y, height)] = (pixelIsOn ? PIXEL_ON : PIXEL_OFF);</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">if</span> (pixelIsOn) {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  xSumOn += x;</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  ySumOn += y;</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  ++countOn;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="comment">// Compute location of center of mass, which will represent the center of the point</span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  countOn = qMax (1.0, countOn);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  *sampleXCenter = (int) (0.5 + xSumOn / countOn);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  *sampleYCenter = (int) (0.5 + ySumOn / countOn);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="comment">// Dimensions of portion of array actually used by sample (rest is empty)</span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  *sampleXExtent = xMax - xMin + 1;</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  *sampleYExtent = yMax - yMin + 1;</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> }</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> </div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> <span class="keywordtype">void</span> PointMatchAlgorithm::releaseImageArray(<span class="keywordtype">double</span>* array)</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::releaseImageArray"</span>;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  ENGAUGE_CHECK_PTR(array);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">delete</span>[] array;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> <span class="keywordtype">void</span> PointMatchAlgorithm::releasePhaseArray(fftw_complex* arrayPrime)</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> {</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::releasePhaseArray"</span>;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  ENGAUGE_CHECK_PTR(arrayPrime);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keyword">delete</span>[] arrayPrime;</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> }</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> <span class="keywordtype">void</span> PointMatchAlgorithm::removePixelsNearExistingPoints(<span class="keywordtype">double</span>* image,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordtype">int</span> imageWidth,</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordtype">int</span> imageHeight,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keyword">const</span> Points &pointsExisting,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keywordtype">int</span> pointSeparation)</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> {</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  LOG4CPP_INFO_S ((*mainCat)) << <span class="stringliteral">"PointMatchAlgorithm::removePixelsNearExistingPoints"</span>;</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < pointsExisting.size(); i++) {</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordtype">int</span> xPoint = pointsExisting.at(i).posScreen().x();</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordtype">int</span> yPoint = pointsExisting.at(i).posScreen().y();</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="comment">// Loop through rows of pixels</span></div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordtype">int</span> yMin = yPoint - pointSeparation;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">if</span> (yMin < 0)</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  yMin = 0;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordtype">int</span> yMax = yPoint + pointSeparation;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">if</span> (imageHeight < yMax)</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  yMax = imageHeight;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> </div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> y = yMin; y < yMax; y++) {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="comment">// Pythagorean theorem gives range of x values</span></div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordtype">int</span> radical = pointSeparation * pointSeparation - (y - yPoint) * (y - yPoint);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">if</span> (0 < radical) {</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> </div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordtype">int</span> xMin = (int) (xPoint - qSqrt((<span class="keywordtype">double</span>) radical));</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keywordflow">if</span> (xMin < 0)</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  xMin = 0;</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordtype">int</span> xMax = xPoint + (xPoint - xMin);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">if</span> (imageWidth < xMax)</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  xMax = imageWidth;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span> </div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="comment">// Turn off pixels in this row of pixels</span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> x = xMin; x < xMax; x++) {</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> </div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  image [FOLD2DINDEX(x, y, imageHeight)] = PIXEL_OFF;</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  }</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  }</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  }</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> }</div><div class="ttc" id="classDocumentModelPointMatch_html"><div class="ttname"><a href="classDocumentModelPointMatch.html">DocumentModelPointMatch</a></div><div class="ttdoc">Model for DlgSettingsPointMatch and CmdSettingsPointMatch. </div><div class="ttdef"><b>Definition:</b> <a href="DocumentModelPointMatch_8h_source.html#l00017">DocumentModelPointMatch.h:17</a></div></div>
<div class="ttc" id="classColorFilter_html_a3b87a3de7743f4316b6cdd9d83813c99"><div class="ttname"><a href="classColorFilter.html#a3b87a3de7743f4316b6cdd9d83813c99">ColorFilter::pixelFilteredIsOn</a></div><div class="ttdeci">bool pixelFilteredIsOn(const QImage &image, int x, int y) const</div><div class="ttdoc">Return true if specified filtered pixel is on. </div><div class="ttdef"><b>Definition:</b> <a href="ColorFilter_8cpp_source.html#l00121">ColorFilter.cpp:121</a></div></div>
<div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div></div>
<div class="ttc" id="classColorFilter_html"><div class="ttname"><a href="classColorFilter.html">ColorFilter</a></div><div class="ttdoc">Class for filtering image to remove unimportant information. </div><div class="ttdef"><b>Definition:</b> <a href="ColorFilter_8h_source.html#l00020">ColorFilter.h:20</a></div></div>
<div class="ttc" id="classPointMatchTriplet_html"><div class="ttname"><a href="classPointMatchTriplet.html">PointMatchTriplet</a></div><div class="ttdoc">Representation of one matched point as produced from the point match algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="PointMatchTriplet_8h_source.html#l00013">PointMatchTriplet.h:13</a></div></div>
<div class="ttc" id="classPointMatchAlgorithm_html_a43dc961a4543b51ddc14338b7dca6b55"><div class="ttname"><a href="classPointMatchAlgorithm.html#a43dc961a4543b51ddc14338b7dca6b55">PointMatchAlgorithm::findPoints</a></div><div class="ttdeci">QList< QPoint > findPoints(const QList< PointMatchPixel > &samplePointPixels, const QImage &imageProcessed, const DocumentModelPointMatch &modelPointMatch, const Points &pointsExisting)</div><div class="ttdoc">Find points that match the specified sample point pixels. They are sorted by best-to-worst match...</div><div class="ttdef"><b>Definition:</b> <a href="PointMatchAlgorithm_8cpp_source.html#l00217">PointMatchAlgorithm.cpp:217</a></div></div>
<div class="ttc" id="classPointMatchAlgorithm_html_a8764d5b714072df498bdf279c66d470b"><div class="ttname"><a href="classPointMatchAlgorithm.html#a8764d5b714072df498bdf279c66d470b">PointMatchAlgorithm::PointMatchAlgorithm</a></div><div class="ttdeci">PointMatchAlgorithm(bool isGnuplot)</div><div class="ttdoc">Single constructor. </div><div class="ttdef"><b>Definition:</b> <a href="PointMatchAlgorithm_8cpp_source.html#l00026">PointMatchAlgorithm.cpp:26</a></div></div>
<div class="ttc" id="classPointMatchTriplet_html_af2c6162b8b8b609b6ad57b2c116ed31d"><div class="ttname"><a href="classPointMatchTriplet.html#af2c6162b8b8b609b6ad57b2c116ed31d">PointMatchTriplet::point</a></div><div class="ttdeci">QPoint point() const</div><div class="ttdoc">Return (x,y) coordinates as a point. </div><div class="ttdef"><b>Definition:</b> <a href="PointMatchTriplet_8cpp_source.html#l00044">PointMatchTriplet.cpp:44</a></div></div>
<div class="ttc" id="classDocumentModelPointMatch_html_ae08ac5588bec2386a53a3b453d009236"><div class="ttname"><a href="classDocumentModelPointMatch.html#ae08ac5588bec2386a53a3b453d009236">DocumentModelPointMatch::maxPointSize</a></div><div class="ttdeci">double maxPointSize() const</div><div class="ttdoc">Get method for max point size. </div><div class="ttdef"><b>Definition:</b> <a href="DocumentModelPointMatch_8cpp_source.html#l00091">DocumentModelPointMatch.cpp:91</a></div></div>
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