标题:SKELETONIZATION WITH PARTICLE FILTERS
作者:YUCHUN TANG;XIANG BAI;XINGWEI YANG;LIANG LIN;SHUWEI LIU;LONGIN JAN LATECKI
作者机构:Research Center of Sectional and Imaging Anatomy Shandong University School of Medicine 44#, Wenhua Xi Road, Jinan, Shandong 250
通讯作者:Bai, X
通讯作者地址:[Bai, XA]Huazhong Univ Sci & Technol, Dept Elect & Informat Engn, 1037 Luoyu Rd, Wuhan 430074, Hubei, Peoples R China.
来源:International journal of pattern recognition and artificial intelligence
出版年:2010
卷:24
期:4
页码:619-634
DOI:10.1142/S021800141000807X
关键词:skeleton;skeletonization;skeletal path;particle filter
摘要:We present a novel method to obtain high quality skeletons of binary shapes. The obtained skeletons are connected and one pixel thick. They do not require any pruning or any other postprocessing. The computation is composed of two major parts. First, a small set of salient contour points is computed. We use Discrete Curve Evolution, but any other robust method could be used. Second, particle filters are used to obtain the skeleton. The main idea is that the particles walk along the skeletal paths between pairs of the salient points. We provide experimental results that clearly demonstrate that the proposed method significantly outperforms other well-known methods for skeleton computation. Moreover, we propose an extension of our method to computing skeletons of gray level images and provide promising experimental results.
收录类别:EI;SCIE
WOS核心被引频次:3
资源类型:期刊论文
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