• ANN CHRISTEEN SAJI
• ANNMARY PAUL
• ANSHA SANKAR

Brain tumor extraction and its analysis are challenging tasks in Medical image processing because brain image is complicated. This tumor, when turns in to cancer become life-threatening. So medical imaging, it is necessary to detect the exact location of tumor and its type. For locating tumor in magnetic resonance image (MRI), segmentation of MRI plays an important role. A variety of algorithms were developed for segmentation of MRI images by using different tools and methods. Mechanizing this process is a tricky task because of the high diversity in the appearance of tumor tissues among different patients and in many cases similarity with the usual tissues. Physical segmentation of medical image by the radiologist is a monotonous and prolonged process. MRI is a highly developed medical imaging method providing rich information about the person soft-tissue structure. This paper includes survey on different segmentation techniques applied to MR Images for locating tumor.

Magnetic resonance image, Image segmentation, Computed tomography

"BRAIN TUMOR DETECTION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 10, page no.150-151, October-2016, Available :http://www.jetir.org/papers/JETIR1610020.pdf

"BRAIN TUMOR DETECTION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 10, page no. pp150-151, October-2016, Available at : http://www.jetir.org/papers/JETIR1610020.pdf