Multiresolution colour texture analysis for classifying colon cancer images

Co-occurrence matrices are commonly used to extract fine texture information from images, and have been found to be a useful tool for measuring dysplasia in histological images of the colon. Pathologists, however, measure dysplasia in tissue samples at structural as well as cytological levels. We present our findings after investigating modifications to the cooccurrence matrix technique to measure this low frequency colour texture information for the classification of colon cancer images.