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    <p>I propose a different algorithm approach, after working almost a year with image processing algorithms what I can tell is that to create an efficient algorithm, you have to "reflect" how you, as a human would do that, here is the proposed approach:</p> <ol> <li><p>We don't really care about the textures, we care about the edges (rectangles are edges), therefore we will apply an Edge-detection>Difference (<a href="http://www.aforgenet.com/framework/docs/html/d0eb5827-33e6-c8bb-8a62-d6dd3634b0c9.htm">http://www.aforgenet.com/framework/docs/html/d0eb5827-33e6-c8bb-8a62-d6dd3634b0c9.htm</a>), this gives us: <img src="https://i.stack.imgur.com/N3lF7.png" alt="enter image description here"></p></li> <li><p>We want to exaggerate the walls, as humans we know that we are looking for the walls, but the computer does not know this, therefore, apply two rounds of Morphology>Dilatation (<a href="http://www.aforgenet.com/framework/docs/html/88f713d4-a469-30d2-dc57-5ceb33210723.htm">http://www.aforgenet.com/framework/docs/html/88f713d4-a469-30d2-dc57-5ceb33210723.htm</a>), this gives us: <img src="https://i.stack.imgur.com/ysfpi.png" alt="enter image description here"></p></li> <li><p>We care only about the what is wall and what is not, apply a Binarization>Threshold (<a href="http://www.aforgenet.com/framework/docs/html/503a43b9-d98b-a19f-b74e-44767916ad65.htm">http://www.aforgenet.com/framework/docs/html/503a43b9-d98b-a19f-b74e-44767916ad65.htm</a>), we get: <img src="https://i.stack.imgur.com/9d9Qn.png" alt="enter image description here"></p></li> <li><p>(Optional) We can apply a blob extraction to erase the labels ("QUARTO, BANHEIRO", etc)</p></li> <li><p>We apply a Color>Invert, this is just done because the next step detects the white color not black.</p></li> <li><p>Apply a Blob>Processing>Connected Components Labeling (<a href="http://www.aforgenet.com/framework/docs/html/240525ea-c114-8b0a-f294-508aae3e95eb.htm">http://www.aforgenet.com/framework/docs/html/240525ea-c114-8b0a-f294-508aae3e95eb.htm</a>), this will give us all the rectangles, like this:<img src="https://i.stack.imgur.com/EXeWf.png" alt="enter image description here"></p></li> </ol> <p>Note that for each colored box you have its coordinates, center, width and height. So you can extract a snip from the real image with that coordinates.</p> <p>PS: Using the program AForge Image Processing Lab is highly recommended to test your algos.</p>
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    1. PODetect small rectangles in image AForge
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    1. USadelriosantiago
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      1. VTUpMod
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    1. COLet me know if you need a code sample of the algorithm, at this moment I can't provide it but I will if requested.
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      1. USadelriosantiago
    2. COHere is a better, cleaner result after playing a little with the values: http://tinypic.com/r/jim6iw/5
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    3. COI will try that, but would be good a sample code, if you can provide it. Thanks a lot
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      1. USCaio Keto
 

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