文章基本信息

标题：STRUCTURED MEAN SHIFT METHOD AND ITS APPLICATION ON IMAGE SEGMENTATION
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作者：WEICHU XIAO ; BAOLONG GUO ; WEIHONG CHEN 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：44
期号：2
页码：271-277
出版社：Journal of Theoretical and Applied
摘要：It was found that the traditional Mean Shift algorithm segmentation often produces the connection channel, several categories between clusters can not be completely separated from the problem, an improved classification of the structured mean shift segmentation algorithm iterations to obtain the initial cluster in center on the basis of different bandwidth matrix stepwise clustering, resulting in a different class collection of cluster centers, and the establishment of a vested in the tree structure, ultimately through the attribution of the leaf nodes and the root node are classified in order to complete the image segmentation. Experiments show that the algorithm can better retain the image of local information, and has better applicability.
关键词：Connection Channel; Image Segmentation; Structured Mean Shift; Traditional Mean Shift