基于S、V分量的模糊C均值彩色图像分割算法

针对彩色图像的分割问题,提出一种快速有效的彩色图像分割算法。基于彩色图像的HSV颜色空间,应用快速模糊C均值聚类算法,对彩色图像的S、V颜色分量进行聚类,综合考虑图像中目标彩色个数与得到的聚类中心完成对彩色图像的分割。实验结果表明,与其他彩色图像分割算法相比,本文算法可以准确地分割目标区域颜色不同的彩色图像,背景信息保留较少,运算速度受图像尺寸影响较小,可以得到理想的彩色图像分割结果。

Fuzzy C-means clustering for color image segmentation based on S and V color components

In order to segment the color image quickly and efficiently,a color image segmentation algorithm based on HSV color space was proposed.Firstly the distribution of S and V color components in the color image was calculated,and then the statistics were clustered by using the fast fuzzy C-means clustering algorithm,finally the color image was segmented according to the target color number and the cluster centers obtained.Compared with the existing color image algorithms,the test results show that the proposed algorithm can accurately extract the target regions of different color images with less remaining background information,meanwhile the scale of the image has less impact on the computing speed,so has faster speed and better segment results can be achieved.