COMPARATIVE ANALYSIS OF DIFFERENT ALGORITHM FOR BRAIN TUMOR DETECTION.

An automatic MRI image processing algorithm used for k-means, histogram thresholding with FCM, region growing ,watershed segmentation, The paper present three techniques for detection purpose, Histogram, thresholding , k-mean, region growing , watershed segmentation. The segmentation of the brain tumor in magnate resonance images(MRI) is a challenging and difficult task because of Varity of their possible shapes , location , image intensifiers. This paper proposed method is more accurate and effective for the brain tumor detection segmentation for MRI images. This paper gives an comparison of various algorithm used for automatic MRI detection and its efficient.