Abstract: Medical Image Processing is one of the most challenging and emerging fields. MRI, CT scan , ultra scan, X-rays etc. are different machines to diagnose the condition of the patient. Human body is made up of several types of cells. Brain is a highly specialized and sensitive organ of human body. Brain tumour is one of the severe problems in the medical science. MRI imaging is often used when treating brain tumour. There are various image segmentation algorithms in order to detect brain tumour using image processing. Firstly quality of scanned MRI image is enhanced and then different image segmentation techniques are applied to detect the tumour in the scanned image. Different segmentation methods reviewed here are thresholding, kmeans, watershed, edge detection, morphological, fuzzy c-means. Here sample 5 MRI images are taken and processed by using MATLAB software. With the help of these techniques, area of the tumour, execution time, number pixel can be determined. Keywords: MATLAB, segmentation, thresholding , kmeans, watershed, edge detection, morphological, fuzzy c-means.