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Proceedings Paper

Line segment linking algorithm based on gradient orientation
Author(s): Bin Li; Wei Wang; Hao Ye
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Paper Abstract

Considering that existing line segment detection algorithms may detect a long line segment as several short fragmented segments, a novel line segment linking algorithm is proposed in this paper to improve the performance of line segment detection. Since the gradient orientations of points on the Right Linking Segments (RLSs) have better consistency than those on Wrong Linking Segments (WLSs), a feature descriptor is designed for each candidate linking segment based on the gradient orientation information that can effectively distinguish RLSs from WLSs. Experiment results of the testing images show that the proposed method can greatly improve the original line segment detection results by connecting most fragmented line segments more accurately.

Paper Details

Date Published: 10 January 2014
PDF: 9 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691V (10 January 2014); doi: 10.1117/12.2050801
Show Author Affiliations
Bin Li, Tsinghua Univ. (China)
Wei Wang, Tsinghua Univ. (China)
Hao Ye, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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