基于K均值聚类与区域合并的彩色图像分割算法

提出一种基于K均值聚类与区域合并的彩色图像分割算法。首先，对图像运用mean shift算法进行滤波，在对图像进行平滑的同时保持图像的边缘;然后，运用K均值算法对图像在颜色空间进行聚类，得到初始分割的结果;最后，给出了一种区域合并策略，对初始分割获得的区域进行合并，得到最终的分割结果。仿真结果表明，算法的分割结果和人的主观视觉感知具有良好的一致性。

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

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 consi...