A Cluster Based Segmentation of Magnetic Resonance Images for Brain Tumor Detection

Image Processing is one of the emergent research areas today. Medical image processing is the most challenging and highly wanted field in that. Brain tumor detection in Magnetic resonance imaging (MRI) has become an emergent area in the field of medical image processing. Segmentation of images is one of the most difficult tasks thus holds an important position in image processing which determines the quality of the final result. Image segmentation is the process of dividing an image into different homogeneous regions.MR Image segmentation is done through clustering. Clustering is a method of grouping a set of patterns into a number of clusters. The aim of this paper is to design an automated tool for brain tumor detection using MRI scanned image data sets. Detection and extraction of tumor from MRI scan images of the brain was done using MATLAB software.