Detection and Classification of Brain Tumor using Support Vector Machine Based GUI

Medical image segmentation is a challenging task in the field of medical science. Many tools have been developed by engineers to detect tumor and perform analysis of medical images. The most important and effective role in the entire procedure is played by image segmentation tool. It has attracted a lot of attention in the last so many years and researchers are continuously working to increase its quality and attributes. This paper is about the detection of brain tumor using a support vector machine based interface using GUI in Matlab. The interface can use any combination of segmentation, filtering and other techniques to achieve optimum results. The algorithm begins with noise removal and feature extraction using discrete wavelet transform. The extracted features include both first and second order features. These features are reduced to the desired level using principle component analysis. These features are also used to train the kernel SVM. The classification is then performed by support vector machine. The interface of GUI is developed using Matlab guide.