Title :
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
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 Vd 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;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6788-4
DOI :
10.1109/PIC.2010.5688014
