关键词: 彩色图像分割, 均值偏移算法, K均值聚类, 区域合并

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.

Key words: color image segmentation, mean shift algorithm, K-means clustering, region merging