proposed a novel image processing visual clustering problem. Concerned with the past, image characteristics and continuity of the partial difference in the way this method can extract images on the overall impression. To this end, We will image segmentation into the map division and the division of a global criterion-- Ncut ( Normalized Cut). Ncut different not only to measure the difference between the cluster level, but also to measure the internal cluster degree of similarity. Ncut to solve the optimization problem, based on a generalized eigenvalue problem of efficient algorithms, this algorithm will be applied to the static image segmentation, and achieved good results.

Packet : 113172235erzhitufenge.rar filelist
源程序及待处理二值图\main_kmeans.m
源程序及待处理二值图\main_SC.m
源程序及待处理二值图\No1.bmp
源程序及待处理二值图\No2.bmp
源程序及待处理二值图\No3.bmp
源程序及待处理二值图\No4.bmp
源程序及待处理二值图\No5.bmp
源程序及待处理二值图\No6.bmp
源程序及待处理二值图\No7.bmp
源程序及待处理二值图\No8.bmp
源程序及待处理二值图\spectral_clustering.m
源程序及待处理二值图\Thumbs.db
源程序及待处理二值图\图2中的聚点图.fig
源程序及待处理二值图\说明.txt
源程序及待处理二值图

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