Discrete Hough transform using line segment representation for line detection

Daeho Lee, Youngtae Park

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

The Hough transform is a well-known method for detecting lines. The standard Hough transform (SHT) uses a straight line equation parameterized by an angle and a distance, so the axes of the Hough space are continuous and it is difficult to determine their optimal resolutions for digitization. To resolve this difficulty, we propose a discrete Hough transform (DHT) using line segment representation for line detection. The end points of line segments are used as parameters, so the resolutions of the axes can be easily determined and accumulated bins can be easily smoothed for noise suppression. Therefore, the proposed DHT is more appropriate for detecting isolated lines than the SHT.

Original languageEnglish
Article number087004
JournalOptical Engineering
Volume50
Issue number8
DOIs
Publication statusPublished - Aug 2011

Keywords

  • Computer vision
  • Hough transform
  • Line detection

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