From: Bibek S. <bib...@gm...> - 2009-03-01 10:08:53
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Neural networks detection is working properly right now. One problem that has arized is.. Since we are doing histogram equalization in the image, this causes a lot of noise to smoother image. For example say an image subwindow contains very small variations around range of 240 to 250 only (consider a wall), such image after histogram equilization will have a lot of noise after histogram equilization and produce face like structure. i have been searching for possible rejection techniques to reject these windows beforehand, by checking the pixel variation but still haven't found a permanent solution Anjan, you once suggested me about such similar technique, do you have any idea about it? If any one knows any technique, it would greatly speed up the filtering process. Cheers -- Bibek Shrestha bibekshrestha at gmail dot com |