关键词: 服饰图案, 区间二型模糊集, 不确定性, 解模糊, 增强的KM算法

Abstract: For the problem of increased difficulty in segmentation due to the colorful, rich shape, complex texture and other characteristics of Miao costume patterns,  a novel method of interval type-2 fuzzy set is proposed, Miao costume image segmentation algorithm generalized enhanced interval type-2 fuzzy c-means (FCM). Interval type-2 fuzzy sets can effectively deal with the uncertainty and fuzziness in the process of image segmentation, and can grasp more image details. The proposed algorithm that adds a competitive penalty term to the interval type-2 FCM, can obtain high robustness and convergence. Enhanced KM algorithm is used to type-reduction and defuzzification of optimizing the centroid so as to speed up the model. The experimental results show that the proposed algorithm can achieve more accurate segmentation  than that of other algorithms in different datasets.

Key words: costume patterns, interval type-2 fuzzy set, uncertainty, defuzzification, enhanced KM algorithm