Study and Literature Survey for Brain Tumor Detection and its Area Measurement using Genetic Algorithm Based on K-Means Clustering

Abstract: The brain is the main processing unit of the central nervous system and its structure is very complicated. Tumor is nothing but an unstoppable growth of tissues in any part of the body. Tumors are of different types and characteristics and also have different treatments. Brain tumor extraction and its analysis are challenging tasks in medical image processing because brain image and its complex structure. Segmentation is applied in medical images is an essential process in analyzing and curing an illness. Thus, it is obvious that the purpose of clustering in medical images is the recognition of damaged areas in tissues. Here a brief review of different segmentation techniques has been discussed for detection of tumor from Magnetic Resonance Imaging (MRI) of brain. Finally we propose an automatic tumor detection system using image segmentation method.

Keywords: MRI ,brain tumor, image segmentation, k- means clustering, Genetic Algorithm.