关键词: 图像分割, 快速全局K-means, 区域合并, 聚类分析

Abstract: In this paper, a method of image segmentation is presented, which based on fast global K-means and region merging. Medial filter is used to remove the noise of target image. The initial segmented result is obtained by using fast global K-means clustering algorithm in the color space. A region merging strategy is used to merge the initial regions with the goal of forming the final segmentation result. The simulation results indicate that compared with other methods, the segmentation result is well consistent with human perception, especially in image details.

Key words: image segmentation, fast global K-means algorithm, region merging, clustering analysis