Robust Method for Noisy Image Segmentation

A major problem in noisy image processing is the effective segmentation of its components. In this paper, we are proposing a K Medoid clustering algorithm for noisy image segmentation, which is able to segment all types of noisy images efficiently. As the presented clustering algorithm selects the centroids randomly hence it is less sensitive , to any type of noise as compare to other clustering algorithms. To prove this we will present experimental results on various images, effected by different noises, to demonstrate efficiency of the proposed method for segmentation of noisy image. Keywords— Colour image segmentation, Image noise, PSNR, K Medoids.