A skeleton extraction framework based on inner-product and border gap

Author

Zang, Zhuping ; Zeng, Peifeng ; Tang, Liping

Author_Institution

Sch. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China

Volume

2

fYear

2010

fDate

10-12 Dec. 2010

Firstpage

766

Lastpage

771

Abstract

Fibers´ Physical properties are influenced by cross-sectional shape. In this paper, a medial-axis based skeleton calculation framework is proposed for cross-sectional shape analysis. In the proposal, border elements of each fiber are numbered sequentially by spatial position; the border gap of each inner pixel is defined to be the length of associated border segment; an 8-connected medial-axis hierarchy is derived with the border gap; branches with minor importance are truncated by vector divergence V_d and length-width ratio LWR with SVM classifier. The derived skeleton has good connectivity for various cross-sectional shapes.

Keywords

image classification; image thinning; production engineering computing; shape recognition; support vector machines; textile fibres; SVM classifier; border gap; cross-sectional shape analysis; inner-product; medial-axis based skeleton calculation framework; medial-axis hierarchy; skeleton extraction framework; textile materials; vector divergence; Variable speed drives; border gap; border vector; cross-sectional; inner product; skeleton;

fLanguage

English

Publisher

ieee

Conference_Titel

Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6788-4

Type

conf

DOI

10.1109/PIC.2010.5688014

Filename

5688014