• Priyanka Rawat
• Shilpa Sethi
• NANCY AGGARWAL

Now a days medical field and computer science field are combined together to make the process of medical science easy and faster. Processing of medical images is a developing field .It includes various imaging methods like CT scans(computed tomography),X rays and MRI(magnetic resonance imaging) etc. For study of brain tumor detection the MRI images is very useful. MRI helps in detecting unusual growth of tissues in nervous system. The first step of detection of brain tumor is abnormality of brain. Abnormality includes symmetric and asymmetric shape of brain. Next step is segmentation. Segmentation is based on two techniques 1) fuzzy transfer 2) morphological operation. These techniques helps in detecting the boundaries of tumor. It also help in calculating the actual area of tumor. To learn about tumor detection using MRI images and different techniques , a review is done on existing papers. This survey paper provides an outcomes of different techniques along with their strengths and weaknesses.

Brain Tumor, MRI Images , Fuzzy Transform , Segmentation , Morphological Operations

"SURVEY ON IMAGE PROCESSING AND IMAGE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.302-307, April-2019, Available :http://www.jetir.org/papers/JETIR1904H54.pdf

"SURVEY ON IMAGE PROCESSING AND IMAGE SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp302-307, April-2019, Available at : http://www.jetir.org/papers/JETIR1904H54.pdf