Survey on Different Brain Tumor Detection Methods or Algorithms

Image processing is one of the developing research areas today. Medical image processing is the most vindicate and highly needed field in that. Brain tumor is an unsuppressed expension (growth) of tissues in human brain. This tumor, when turns in to cancer become critical. 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 crucial role. The method of brain tumor segmentation is nothing but the differentiation of different tumor area from MR images. Segmentation of images is one of the most troublesome tasks thus holds an important position in image processing which determines the quality of final result. Image segmentation is a process of dividing an image into various homogeneous domain (regions). In this paper, we constitute survey on different segmentation techniques applied to MR images for locating tumor. In this paper we also discuss the advantage and disadvantage of different methods of segmentation.