filter bank

in order to display properly, FB*256 ::should be imagesc() with colormap('gray')::

Apply each of these filters to the image and save the largest *absolute* responded filter's index to an index table. After that do a computer the histogram of these index.

I may have missed something that the result is completely off. At the learning stage I apply the filter to the user selected windows only, while at the finding stage I apply the filters to the entire image. May it be a problem that the convolution of small window is different than convolution of the entire image?

Another problem is that the algorithm is very slow, takes 3 minutes+ to compute.