I. Introduction
Automated and efficient diagnosis of medical images is very important. Computer and Information Technology are very much useful in medical image processing, medical analysis and classification. More often Medical images are usually obtained by X-rays and MRI. MRI is essential tool in the clinical and surgical environment due to superior soft tissue differentiation, high spatial resolution, contrast and it does not use any harmful ionizing radiation which may affect patients. Cancer develops in a part of the body when cells begin to grow out abnormally. Radiologists examine MRI Images based on visual interpretation to identify the presence of tumor. There might be a possibility when large volume of MRI to be analyzed then there is a possibility of wrong diagnosis by radiologists because sensitivity of the human eye decreases with escalating number of cases, predominantly when only a small number of slices are affected. Hence there is a need for efficient automated systems for analysis and classification of medical images. The MRI image may contain both normal and abnormal image.