Texture Segmentation Based on Clustering Validity Function for Fuzzy c-means Algorithm
SONG Xiang-fa~(1), CHEN Zhi-guo~(1), WEN Cheng-lin~(1), CHE Jin-rui~(2) (1.College of Computer and Information Engineering, Henan University, Henan Kaifeng 475001, China; 2.Publicity Department, Henan University, Henan Kaifeng 475001, China)
It is a procedure of the label following an unsupervised fuzzy clustering that Fuzzy c-means (FCM) algorithm is applied to image segmentation. In this paper, cluster validity function is used to evaluate the goodness of clustering so that optimal segmentation result is obtained, which conquers some deficiencies encountered in the algorithm, for example, the number of clustering can not be determined automatically and whether its clustering is optimal. This algorithm is evaluated by texture segmentation experiments.