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 fiberpsilas...

Full description

Saved in:
Bibliographic Details
Published in2008 International Conference on Audio, Language and Image Processing pp. 1769 - 1774
Main Authors Yan Wan, Li Yao, Bugao Xu, Peifeng Zeng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2008
Subjects
Distance measurement
Euclidean distance
Joining processes
Noise
Pixel
Shape
Skeleton
Online AccessGet full text

Cover

More Information
Summary: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 fiberpsilas branches is necessary to be calculated. In this paper, a skeletonization algorithm is proposed, in which the fiberpsilas 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.
ISBN:1424417236
9781424417230
DOI:10.1109/ICALIP.2008.4590255