关键词: 模糊C均值, 聚类, 图像分割

Abstract: The conventional fuzzy C means clustering algorithm couldn't consider any spatial information, and it is no good to noise image segmentation. In order to overcome this shortcoming, a fuzzy C-means clustering algorithm using spatial information for image segmentation was proposed. The new algorithm could make full use of pixels neighborhood feature by improving the membership function, furthermore local information and non local information were introduced in dissimilarity of data and clustering center. Experimental results show that this method is effective in image segmentation, and has better performance of resisting noise.

Key words: Fuzzy C-means, Clustering, Image-segmentation