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Structured mean shift method and its application on image segmentation.

Author(s)
Weichu Xiao School of Communication and Electronic Engineering, Hunan City University, Yiyang 413002, Hunan, China; Institute of Intelligent Control and Image Engineering, Xidian University, Xi’an 710071, Shanxi, China
Weihong Chen School of Communication and Electronic Engineering, Hunan City University, Yiyang 413002, Hunan, China; Institute of Intelligent Control and Image Engineering, Xidian University, Xi’an 710071, Shanxi, China
Baolong Guo Institute of Intelligent Control and Image Engineering, Xidian University, Xi’an 710071, Shanxi, China
Abstract
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.
Publication Details
Page(s) 271-277
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 44, Issue: 2, Year: 2012

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