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<title>CCfits: Reading an Image</title>
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<h1><a class="anchor" id="readimage">Reading an Image </a></h1><p>Image reading calls are made very simple: the FITS object is created with the readDataFlag set to true, and reading is done on construction. The following call</p>
<p>image.read(contents)</p>
<p>calls</p>
<p>PHDU::read(std::valarray<S>& image).</p>
<p>This copies the entire image from the FITS object into the std::valarray object contents, sizing it as necessary. PHDU::read() and ExtHDU::read() [for image extensions] take a range of arguments that support (a) reading the entire image - as in this example; (b) sections of an image starting from a given pixel; (c) rectangular subsets. See the class references for PHDU and ExtHDU for details.</p>
<div class="fragment"><pre class="fragment"> <span class="keywordtype">int</span> readImage()
{
std::auto_ptr<FITS> pInfile(<span class="keyword">new</span> FITS(<span class="stringliteral">"atestfil.fit"</span>,Read,<span class="keyword">true</span>));
PHDU& image = pInfile->pHDU();
std::valarray<unsigned long> contents;
<span class="comment">// read all user-specifed, coordinate, and checksum keys in the image</span>
image.readAllKeys();
image.read(contents);
<span class="comment">// this doesn't print the data, just header info.</span>
std::cout << image << std::endl;
<span class="keywordtype">long</span> ax1(image.axis(0));
<span class="keywordtype">long</span> ax2(image.axis(1));
<span class="keywordflow">for</span> (<span class="keywordtype">long</span> j = 0; j < ax2; j+=10)
{
std::ostream_iterator<short> c(std::cout,<span class="stringliteral">"\t"</span>);
std::copy(&contents[j*ax1],&contents[(j+1)*ax1-1],c);
std::cout << <span class="charliteral">'\n'</span>;
}
std::cout << std::endl;
<span class="keywordflow">return</span> 0;
}
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