Image Processing Techniques for Automatic Detection of Tumor in Human Brain Using SVM

Abstract

Human brain tumor creates problem in speaking, learning, loss in memories, hearing problem, problems in talking and understanding or gaining anything etc. Magnetic Resonance images are used to find the presence of brain tumor in brain. Magnetic resonance imaging (MRI) is an imaging technique that has played an important role in neuro science research for studying brain images. Classification of MRI images is an important part to differentiate between normal patients and a patient who has tumor in brain. The proposed method has two stages: First is feature extraction and second one is classification. First stage is used to extract the features from images using GLCM. In the second stage extracted features that are used as input to Support Vector machine (SVM) classifier.