中文摘要：

提出一种基于HSI和FCM的彩色图像快速分割算法CISHF.首先将彩色图像从RGB色彩空间转换到HSI空间,然后联合利用S（饱和度）分量和I（亮度）分量进行粗分割,最后针对H（色调）分量进行模糊聚类.根据色调数据的特点,修正了样本数据到聚类中心的距离计算公式,给出统计有效样本权重的算法,对于有效色调值进行样本加权聚类,加快了聚类速度.实验表明,CISHF算法的运算性能大大高于标准FCM算法,获得了较好的彩色图像分割效果.

英文摘要：

In this paper, a fast approach named as CISHF is presented to segment color image. Color image was transformed from RGB space to HSI space firstly. Then rough segmentation was done by threshold value of saturation and intensity to eliminate the noise. Finally hue data was clustered by fuzzy c-means. The formula was revised to calculate the distance from sample data to the cluster center according to characteristics of hue data. The weight of effective hue value was calculated to speed up the cluster process. Experiments show that the performance of the presented algorithm is higher than standard FCM method and better segmentation effect can be obtained.