Experimental Analysis of Brain Tumor Segmentation using FCM and SVM Classification Methodologies

Magnetic resonance imaging (MRI) is the most important techniqu1e, in discovering the brain tumor. Brain tumor is an abnormal growth of cells in brain which affect the functioning of the brain. If we find the tumor in early stages, we can stop further growth of the tumor and proper treatment is undergone for the tumor. . Brain is the main organ of the human central nervous system. A new combination technique based on the FCM (fuzzy c-mean) and Support vector machine (SVM) for brain tumor classification is suggested. So, Here we made an attempt for finding the tumor in brain MRI images. For preprocessing, used method like Gray scale contract, noise removal, thresholding etc. For clustering, we used the FCM clustering and the classification used the SVM classifier.