Description

Abstract:

Image segmentation is defined as action of splitting an image into band of pixels. Aim of this process is to group pixels into regions. This is used in locating objects in satellite images, face recognition, iris recognition, agricultural imaging, medical imaging.Clustering is process that make group of similar objects and is widely used technique for brain tumour detection. We proposed a new method  Modified FCM algorithm based on the Distance metric for segmentation of images that have been corrupted by intensity inhomogeneities and noise. we define a new trade-off weighted fuzzy factor to adaptively control the local neighbor relationship.