A Fuzzy Clustering Method for Automatic Segmentation of Color Scenes

Abstract

A new algorithm for fuzzy c-means clustering in color image processing is proposed for possible application to automatic segmentation of scene pictures. This algorithm automatically determines the number of colors for a given input color scene, and divides the scene into meaningful regions. It is evaluated for four color scenes in comparison with non-fuzzy and former fuzzy algorithms by labeled color images and contours of segmented regions.