Medical Image processing is a sequential combination of various computer based methods to extract medical data to identify diseases or disorders. The basic techniques include image pre-processing, thresholding, segmentation, feature extraction and pattern recognition. The recent researches show that association of machine learning and artificial intelligence paradigms with image processing create new dimensions. But the major part of this image processing is segmentation, the partition of image into segments based on gradient in the image properties such as intensity, color, or texture. The image segmentation has variety of techniques. This paper analyses the two major segmentation techniques i.e edge based and region based segmentations. The comparison has been made based on processing time and Jaccard Index (with the ground truth image). The images dataset taken for analysis is BRATS-2015 Brain Tumor Image Segmentation Challenge benchmark images.          

Index Terms - Active Contour, Brain, Edge, MRI, Region Growing, Segmentation.