Hi Paul 2008/10/7 paul taney <[EMAIL PROTECTED]>: > I have this silly color filter that Stefan gave me: > > def vanderwalt(image, f): > """colorfilter, thanks to Stefan van der Walt""" > RED, GRN, BLU = 0, 1, 2 > bluemask = (image[...,BLU] > f*image[...,GRN]) & \ > (image[...,BLU] > f*image[...,RED]) > > return bluemask
Here's a heuristic method that may work. The above statement is equivalent to image[...,BLU] > f*max(image[...,GRN], image[...,RED]) So I would construct a new array with the maximum of the red and green values. Then, divide that new image by the blue image -- this gives you all the different "f" values above. Calculate the histogram of the "f"s, and pick an f with the right percentile. Regards Stéfan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
