Based on the analysis of advantages and disadvantages of the self-adaptive FCM image segmentation algorithm

an improved self-adaptive fuzzy C-means clustering algorithm is proposed.By construct a two-dimension histogram with pixel neighborhood space information

as a cluster sample for self-adaptive FCM

the dimension of sample space is reduced

and then

the problem of self-adaptive FCM on low rate of convergence and sensitive to noise is solved.At last

the improved algorithm is improved to have higher rate of convergence

higher accuracy of separation

and more robustness to noise

by contrast to self-adaptive FCM algorithm on image segmentation to a noise contained image.