Region Feature Extraction of Brain CT Image for Classification

Disease categorization based on medical image is a very challenge problem, because disease anatomical distribution on image is complex. In this paper, we describe an approach of region feature extraction, which is to partition the image into different regions and extract the local features in each region, to classify different diseases. Our experiments are based on a database consisting of 50 samples with two different disease types(stroke and tumor). The experimental results demonstrate our method is effective in classification precision comparing with Gabor feature extraction.