基于HIS空间的快速模糊C-均值彩色图像分割  

COLOR IMAGE SEGMENTATION ALGORITHM BASED ON FAST FUZZY C- MEANS CLUSTERING IN HIS SPACE

作　　者：王婷婷[1] 侯德文[1] 

机构地区：[1]山东师范大学信息科学与工程学院,济南250014

出　　处：《山东师范大学学报（自然科学版）》2013年第2期28-32,共5页Journal of Shandong Normal University(Natural Science)

摘　　要：提出了一种基于HIS空间的快速模糊C-均值的彩色图像分割方法．首先将彩色图像由RGB转换为HIS，根据H分量和，分量分别计算出每个像素的4个隶属度，然后把H分量和I分量的一个隶属度结合形成一个二维特征矢量，最后对二维矢量进行快速模糊C-均值聚类得到最终的图像分割结果．A segmentation method of color image based on fast fuzzy C - means in HIS color space is proposed in this paper. Firstly, the color image is transformed to HIS from RGB, four membership degrees of each pixel are calculated from the H component and I component, secondly, based on combination of membership degree, a two -dimensional feature vector is produced, which is processed with the fast fuzzy C - means to obtain the final color image segmentation results.

关 键 词：HIS 快速模糊C-均值 彩色图像分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]