Tricky image segmentation in Python

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drichman
1 ●2 ●2

I'm trying to segment a live video feed in real time. The frames look much like this: http://img515.imageshack.us/img515/9531/depthimg2.jpg In particular, I need to extract pieces like the smaller box in the center-right of the frame.

The problem is that the background isn't completely black. I've been trying to use FindContours, but it has a hard time because it treats the image as binary. Is there some sort of blob detection that handles multiple layers?

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Try applying adaptiveThreshold to binarize the image before passing to FindCountours.

blue (Jul 18 '12)edit

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answered Sep 26 '12

elmiguelao

275 ●6

If you know the amount of segments to extract, mean-shift segmentation via openCV k-means can do the trick, although the inclusion might be a problem to be dealt with separately. I made a post on k-means here http://answers.opencv.org/question/2628/can-opencvs-mean-shift-implementation-be-used-for/.

More info can be found in this slides: http://robots.stanford.edu/cs223b04/CS%20223-B%20L11%20Segmentation.ppt (slide 41 onwards).

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