A robust method for image segmentation of noisy digital images

A robust image segmentation algorithm called Extended Fuzzy C means (EFCM) is presented in this paper which preprocesses the image to reduce the noise effect and then apply FCM algorithm for image segmentation. Preprocessing of image is influenced by the direct eight neighborhood pixels of study pixel of an image under consideration. The advantages of the propose algorithm is: (1) Least execution time compared to other techniques. (2) It yields regions more homogeneous than those of other techniques. (3) It removes noisy spots and is less sensitive to noise. The propose technique is a powerful method for noisy image segmentation with least computation time and convergence rate compared to other image segmentation techniques.