Color image segmentation algorithm based on K-means clustering and region merging

Abstract

This paper proposed a novel algorithm of color image segmentation,based on clustering and region merging.First,an image was smoothed while preserving the boundaries by mean shift algorithm.Second,the initial segmented regions were obtained using K-means clustering algorithm in the feature space.Finally,the initial regions were merged to form the final segmentation result by a new region merging strategy.The simulation results show that color image segmentation results of the proposed approach are well consistent with human perception.