How does one do a histogram on only a part of an image? This is what I found in the PIL documentation about histogram( ):
""" im.histogram(mask) => list Returns a histogram for those parts of the image where the mask image is non-zero. The mask image must have the same size as the image, and be either a bi-level image (mode "1") or a greyscale image ("L"). """ But I don't quite understand what "mask image is non-zero" mean. Does it mean non-white? For instance how would I get a histogram from the border of an image where the border is, say, 5% in width and height of the width and heigth of the full image? Do I need to prepare a mask image that is white in the middle and non-white at the edges? I should maybe add that I don't need the histogram really, only the mean color value, but as far as I can see the 'mean' attribute only applies to an image and a mask can not be specified. In case I overlooked something in the docs (which is easily possible) please point me to the appropriate page. -- http://mail.python.org/mailman/listinfo/python-list