Robust credibilistic fuzzy local information clustering with spatial information constraints

Credibilistic fuzzy clustering is a novel data analysis method. Aiming at the shortcoming that credibilistic fuzzy clustering algorithm (CFCM) lacks the ability of noise suppression for image segmentation, a robust credibilistic fuzzy C-means clustering with weighted local information (CWFLICM) is proposed. At first, the fuzzy local information is introduced to guarantee the noise insensitiveness and image detail information. Secondly, the...