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Abstract: Segmentation of image in MRI is becoming very important in image processing. The division of image into segments is known as image segmentation. It is used in the application of object detection, content based image retrieval, machine vision, and medical imaging including volume rendered images from computed tomography and Magnetic Resonance Imaging, Recognition task and many others. It is mostly used in the application of image compression or object recognition. Image segmentation includes various segmentation technique based on the shape, size and intensity of the image. In this paper we have discussed about the BWT segmentation, feature extraction using GLCM and feature selection using SVM for segmenting the tumor image, the accuracy level is increased up to 90% compared with the existing algorithm.