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    <p>Use the <a href="http://en.wikipedia.org/wiki/Lab_color_space#Advantages_of_Lab" rel="nofollow noreferrer">LAB</a> color space and find the color with the nearest <a href="http://en.wikipedia.org/wiki/Euclidean_distance" rel="nofollow noreferrer">euclidean distance</a>. Doing this in the RGB color space will yield counter-intuitive results. (Or use the <a href="http://130.113.54.154/~monger/hsl-rgb.html" rel="nofollow noreferrer">HSL</a> color space.) </p> <p>So just iterate over each pixel and find the color with the closest distance within the color space you choose. Note that the distance must be computed <strong>circularly</strong> for some color spaces (e.g. those employing <em>hue</em>).</p> <p>(Most color quanization revolves around actually choosing a palette, but that has already been taken care of in your case, so you can't use the more popular quantization techniques.)</p> <p>Also, check out <a href="https://stackoverflow.com/questions/492211/is-there-an-easy-way-to-compare-how-close-two-colors-are-to-each-other">this question</a>.</p> <p>To find the HSB hue in Cocoa, it looks like you can use the <a href="http://developer.apple.com/DOCUMENTATION/Cocoa/Reference/ApplicationKit/Classes/NSColor_Class/Reference/Reference.html#//apple_ref/occ/instm/NSColor/getHue:saturation:brightness:alpha:" rel="nofollow noreferrer">getHue method declared in NSColor.h</a>.</p> <p><strong>However, if you just convert an image to a cross-stitch design using this technique, it will be very hard to actually stitch it.</strong> It will be full of single-pixel color fields, which sort of defeats the purpose of cross-stitching.</p>
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    1. POHow do I reduce a bitmap to a known set of RGB colours
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    1. POHow do I reduce a bitmap to a known set of RGB colours
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    1. COYou're assuming the source image is a photograph, but yes. There's a whole other bunch of cross-stitch stuff I've considered, but didn't want to overload the question.
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    2. CONo, I actually wasn't assuming that. I was just talking about how the "per pixel" approach doesn't consider the image as a whole. But if your source image is already heavily quantized, then it's ofcourse no problem. (I had my share of thumb-soring bitching stitching.)
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    3. COI don't think details about your intent would overload the question.
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