会议专题

A Distance Map Based Skeletonization Algorithm and its Application in Fiber Recognition

The conversion of two-dimensional objects into a skeletal representation is a fundamental calculation in image processing and pattern recognition, because topological structures of objects can be preserved in the skeleton. For the purpose of shaped fiber recognition, the number of shaped fibers branches is necessary to be calculated. In this paper, a skeletonization algorithm is proposed, in which the fibers topology information is well preserved. The algorithm also shows good noise tolerance. At the end of this paper, the experimental results of shaped fiber recognition based on proposed algorithm are given.

Yan Wan Li Yao Bugao Xu Peifeng Zeng

School of Computer Science, Donghua University, P.R.C Department of Human Ecology, University of Tex School of Computer Science, Donghua University, P.R.C Department of Human Ecology, University of Texas at Austin, Austin, TX 78712, U.S.A.

国际会议

2008 International Conference on Audio,Language and Image Processing(2008国际声音、语言、图像过程大会)

镇江

英文

1769-1774

2008-07-07(万方平台首次上网日期,不代表论文的发表时间)