Line segment linking algorithm based on gradient orientation

Bin Li; Wei Wang; Hao Ye

doi:10.1117/12.2050801

10 January 2014 Line segment linking algorithm based on gradient orientation

Bin Li, Wei Wang, Hao Ye

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 90691V (2014) https://doi.org/10.1117/12.2050801
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

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.

Citation Download Citation

Bin Li, Wei Wang, and Hao Ye "Line segment linking algorithm based on gradient orientation", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691V (10 January 2014); https://doi.org/10.1117/12.2050801

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