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Line segment linking algorithm based on gradient orientation

  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationFifth International Conference on Graphic and Image Processing, ICGIP 2013
DOIs
StatePublished - 2014
Externally publishedYes
Event5th International Conference on Graphic and Image Processing, ICGIP 2013 - Hong Kong, China
Duration: 26 Oct 201327 Oct 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9069
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference5th International Conference on Graphic and Image Processing, ICGIP 2013
Country/TerritoryChina
CityHong Kong
Period26/10/1327/10/13

Keywords

  • Gradient Orientation
  • image processing
  • line segment linking

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