Description: k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix)
- [K-mean.Rar] - the procedure k means algorithm to class
- [texture] - Gray-level co-occurrence matrix texture
- [inverse] - Using matlab to write five matrix invers
- [duoyuzhifenge] - Histogram-based multi-threshold segmenta
- [IterHistDiv] - Classical iterative separation histogram
- [seed] - An image segmentation algorithm- cluster
- [kmeans] - k-means image segmentation
- [KFCMClust529] - the corresponding algorithms are called
- [graywatershed] - Matlab based on gray-scale image of the
- [kmean_zmx_try] - k-means Cluster,kmean_zmx_try.rar
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