关键词: 彩色图像分割, 直方图阈值, K-均值聚类

Abstract: This paper presents a simple and effective segmentation method for color image. All possible uniform regions in the color image are obtained by using the histogram threshold technique. That is, the main peak values is found in order to initialize and merge the regions and obtain the uniform regions marked by the corresponding  clustering centers. The adaptive K-means clustering algorithm is given to improve compactness of the formed uniform regions. The experimental results show that, compared with IAFHA（improved ant colony-Fuzzy C-means hybrid algorithm） method, the proposed method can receive the less segmentation regions, fast segmentation speed  and have certain robustness.

Key words: color image segmentation, histogram threshold, K-means clustering