Binary Tree-Based Clustering Algorithm and Used in Color Image Segmentation

An effective clustering algorithm based on binary tree is proposed in this paper. A roughly extraction of the color image is gotten by constructing the self-adapting binary tree. A C_means clustering algorithm is designed based on the extraction. This algorithm is to improve the segmentation´s accuracy of the binary tree´s leaves. Experiments have approved that this new method can be implemented efficiently. Experiments show the results of high segmentation accuracy and mass information in origin color image at the same time.