Hi Franz, that's not a trivial problem I think. You have e.g. first to create a mask with all pixels from 0..(sth like 20), this is the dark parts of the images plus the space around them (your scanner scans them as black). Then, you need to detect edges and apply a Hough transformation or something like that. Applying a Hough transformation is by the way very easy with openCV, maybe you can use openCV to get the edges and feed that to PIL to crop the interesting regions.
http://www.cognotics.com/opencv/docs/1.0/ref/opencvref_cv.htm Scroll down to "Special Image Transformations" -> HoughLines2 Best regards Philipp _______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
