1719 | Page vEXTRACTION & SEGMENTATION OF BRAIN TUMOR FROM MRI IMAGES : MATLAB IMPLEMENTATION Rakesh Kumar 1 , Raj Kumar Paul 2 Research Scholar, Department of CSE, Vedica Institute of Technology, Bhopal (India) Professor, Department of CSE, Vedica Institute of Technology, Bhopal (India) ABSTRACT Now a day, one of the many active researches in the field of medical image processing is the automatic extraction of brain tumor using magnetic resonance images. This study is the study of brain tumor extraction and its location from the MRI images. The basic objective of this study is that how can obtained or how efficiently detect and locate the tumor from the MRI images .The basic concept of MRI images processing are noise removal function, segmentation and morphological operation. Keywords: Brain Tumor, Morphological Operations MRI, Watershed Segmentation. I. INTRODUCTION A tumor is abnormal growth of tissues within the brain or central spine which will cause improper brain function. Tumor is classified as two varieties, one of them is benign and another one is malignant. Benign is non- cancerous and fewer harmful whereas malignant is cancerous and spreads quickly about to alternative brain tissue with deadly nature. Further malignant tumor area unit classified into two varieties as primary and secondary. Primary tumors area units are those who originate within the brain. The Secondary tumor area units are those who originate in another part of the body finally reaching the brain through the method of metastasis. The proper detection and examination of the brain tumor it's vital to spot and discover the precise location of its existence. There square measure various methodologies like CT scan, X-ray, and MRI etc. There in gift era for brain tumor detection however tomography (Magnetic resonance imaging) could be a non-invasive methodology and uses powerful magnet and radio waves to provides visual details concerning the anatomy conjointly the overall structure of the brain and may be accustomed examine the blood provide within the brain for investigation. Abnormality is also pursuit the progress or growth of the illness. Normally a magnetic resonance imaging image is unclear having noise that leaves the health professional unsure concerning the precise proximity of the brain tumor. This paper mainly deals with sweetening of the magnetic resonance imaging image victimization noise removal functions, segmentation and morphological operations which can give the clear contour concerning the brain tumor.