Contour Extraction and Segmentation of Cerebral Hemorrhage from MRI of Brain by Gamma Transformation Approach

Computer-aided diagnosis (CAD) systems have been the focus of several research endeavors and it based on the idea of processing and analyzing images of different hemorrhage of the brain for a quick and accurate diagnosis. We use a gamma transformation approach with a preprocessing step to segment and detect whether a brain hemorrhage exists or not in a MRI scans of the brain with the type and position of the hemorrhage. The implemented system consists of several stages that include artefact and skull elimination as an image preprocessing, image segmentation, and location identification. We compare the results of the conducted experiments with reference image which are very promising visually as well as mathematically.