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	Skeleton extraction via structure-adaptive anisotropic filtering
	Du, Xiaofeng ; Zhu, Shunzhi ; Li, Jianmin ; Du XF(杜晓凤)
	2014
关键词	Anisotropy Extraction Internet Object recognition
英文摘要	Conference Name:6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014. Conference Address: Xiamen, China. Time:July 10, 2014 - July 12, 2014.; National Natural Foundation of China; SIGMM China Chapter; Xiamen University; Skeletonization of gray-scale images is a challenging problem in computer vision due to the non-uniform width of shape and the clutter background. This paper presents a novel approach of skeletonization for gray-scale images directly from original image based on anisotropic Gaussian filter. To deal with the non-uniform width of natural object parts, we adapt the shape of filter kernel to local gradient feature. The orientation of filter is firstly estimated based on local structure tensor, and then the scale is calculated based on gradient vector flux. After that, the anisotropic Gaussian filter is performed on the image. The skeleton strength map is defined by the gradient vector flux measure. Finally, thin and binary skeleton is obtained by non- maximum suppression the skeleton strength map. Our method performs well on both binary and gray image in skeleton extraction even for clutter image. Copyright 2014 ACM.
语种	英语
出处	http://dx.doi.org/10.1145/2632856.2632897
出版者	Association for Computing Machinery
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85905]
专题	数学科学－会议论文
推荐引用方式 GB/T 7714	Du, Xiaofeng,Zhu, Shunzhi,Li, Jianmin,et al. Skeleton extraction via structure-adaptive anisotropic filtering. 2014-01-01.

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