A segmentation-free approach for skeletonization of gray-scale images via anisotropic vector diffusion

被引：0

作者：

Yu, ZY ^{[1
]}

Bajaj, C ^{[1
]}

机构：

[1] Univ Texas, Dept Comp Sci, Austin, TX 78712 USA

来源：

PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1 | 2004年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we describe a method for skeletonization of gray-scale images without segmentation. Our method is based on anisotropic vector diffusion. The skeleton strength map, calculated from the diffused vector field, provides us a measure of how possible each pixel could be on the skeletons. The final skeletons are traced from the skeleton strength map, which mimics the behavior of edge detection from the edge strength map of the original image. A couple of real or synthesized images will be shown to demonstrate the performance of our algorithm.

引用

页码：415 / 420

页数：6

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