In the quantitative analysis of brain tissues, in magnetic resonance (MR) brain images, segmentation is the preliminary step. In this paper first we analyzed and compared various techniques used for Brain Image segmentation. Further it introduces an automatic model based technique for brain tissue segmentation from cerebral magnetic resonance (MR) images by using support vector machine (SVM) based classifier. A new and powerful kind of supervised machine learning with high generalization characteristics, is employed SVM. An iterative process is used for brain segmentation, so that the probabilistic maps of brain tissues will be updated at any iteration.

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Magnetic Resonance Image Image Segmentation Support Vector Machine (svm) Least Square Support Vector Machine (ls-svm)