关键词: 图像处理, 图像分割, 聚类算法, 邻接矩阵, 自适应, 迭代

Abstract:

The image segmentation algorithm based on clustering is a common one.Traditional clustering algorithm requires the determination of the initial cluster centers and cluster number of categories,and how to determine the optimal cluster number of categories is a major challenge.An adaptive image segmentation algorithm based on the adjacency matrix is proposed to overcome the local optimization caused by artificial determination of the initial cluster centers and cluster number of categories by traditional clustering algorithms.The proposed algorithm is compared with the traditional algorithm by experiment and applied to segmentation.Experimental results demonstrate good robustness and stability of the algorithm with more accurate result of clustering for segmentation than those by the traditional algorithm.

Key words: image processing;image segmentation;clustering algorithm;adjacency matrix;adaptive;iteration