Geetika Gupta, Rupinder Kaur, Arun Bansal, Munish Bansal
Magnetic Resonance Imaging (MRI) is the procedure used in hospitals to scan patients and determine the severity of certain injuries. It produces high quality images of the human body part. Tumors in various body parts are also scanned using MRI. Brain tumor is an abnormal cell formation within the brain leading to brain cancer. Thus it is very important to detect and extract brain tumor. The main thing behind the brain tumor detection and extraction from an MRI image is the image segmentation. Segmenting an image means dividing an image into regions based on some specific criteria. Various algorithms have been proposed for this purpose. This is a knowledge based review paper presenting a brief study of such algorithms highlighting their methodology and advantages and disadvantages if any.