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2011-12-14T01:05:52.367
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If you really have the coordinates of the center of each number-box and you maybe can adjust the image acquisition a bit, this should be a feasible task. The problem I see here is, that you have a brightness gradient in your image which you should get rid off by either taking a better picture or using a big Gaussian-filter and an image subtraction. Otherwise I'm not sure you'll find a good brightness-threshold to separate crossed from non-crossed. Another approach you could use is to calculate the variance of your pixels. This gives you a nice local measure, whether or not a dark pen spread your pixel-distribution. A quick test looks promising <img src="https://i.stack.imgur.com/7Hq0G.png" alt="lotto processing"> Note, that I didn't had the real positions of the boxes. I just divided your image into equally sized regions which is not really correct regarding the box/sub-box like structure. Therefore there are some false positives in it because of the red triangles in each upper left corner and because of some overlapping crosses. So here's what I did: <ol> <li>Take your image without the red channel and made it a graylevel image.</li> <li>Filtering this image with a Gaussian of radius 100 and subtracting this from the image.</li> <li>I divided your image into (7*6)x(7*2) subregions.</li> <li>Calculated the variance of each subregion and used a variance-threshold of about 0.017 for the above image</li> <li>Every box which had a larger variance was crossed.</li> </ol>
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1. POCross detection in image
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1. UShalirutan
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