Morphological based segmentation of brain image for tumor detection

Interpretation of bio-medical image contents is one of the most challenging field in computer vision for medical diagnosis. In context to that it has received much awareness of researchers to meet the challenges. The purpose of Image segmentation is to partition an image into meaningful regions with respect to a particular application. Edge is a basic as well as an important feature of an image. For further processing, detecting edges is one of the most important aspects in image segmentation. It is a process of identifying and locating sharp discontinuities in an image. In this paper, the brain image is considered for analysis and detection. Initially the region of interest is found, that helps to detect the particular content of the image and set the boundary of it. Basic morphological operations is used for edge detection. For this purpose the thresholding using histogram is done. The result obtained using Gaussian filter shows better performance than other methods. Comparison measure shows for MSE, PSNR & SSIM.