MRI Brain Image Segmentation based on Thresholding

Medical Image processing is one of the most challenging topics in research field. The main objective of image segmentation is to extract various features of the image that are used for analysing, interpretation and understanding of images. Medical Resonance Image plays a major role in Medical diagnostics. Image processing in MRI of brain is highly essential due to accurate detection of the type of brain abnormality which can reduce the chance of fatal result. This paper outlines an efficient image segmentation technique that can distinguish the pathological tissues such as edema and tumour from the normal tissues such as White Matter (WM), Grey Matter (GM), and Cerebrospinal Fluid (CSF). Thresholding is simpler and most commonly used techniques in image segmentation. This technique can be used to detect the contour of the tumour in brain.