关键词: 模糊C-均值聚类, 图像分割, 直觉模糊C-均值聚类, 图像模糊聚类

Abstract:

A fast segmentation algorithm based on histogram of picture fuzzy clustering is proposed by introducing the picture fuzzy C means clustering into the image segmentation since it is difficult for the traditional fuzzy Cmeans clustering algorithm to obtain satisfactory segmentation results for complex medical and remote sensing images. Firstly, the objective function of distributed picture fuzzy clustering algorithm proposed by Le is simplified to get the objective function of picture fuzzy clustering algorithm. The corresponding positive degree, neutral degree, refusal degree and cluster center expression are obtained by the Lagrange multiplier method. The fuzzy picture clustering algorithm is designed and its convergence is proved. The segmentation results of complex medical and remote sensing images show that the new segmentation algorithm has better segmentation performance than the existing fuzzy Cmeans clustering algorithm and intuitionistic fuzzy Cmeans clustering algorithm.

Key words: fuzzy C means clustering, image segmentation, intuitionistic fuzzy C means clustering, picture fuzzy clustering