Color Image Segmentation using Competitive Learning

AbstructThis paper presents a color image segmentation method which divides color space into clusters. Competitive learning is used as a tool for clustering color space based on the least sum of squares criterion. We show that competitive learning converges to approximate the optimum solution based on this criterion theoretically and experimentally. We applied this method to various color scenes and show its efficiency as a color image segmentation method. We also show the effects of using different color coordinates to be clustered by some experimental results.