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

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.