Canny edge detection using bilateral filter on real hexagonal structure

Xiangjian He, Daming Wei, Kin Man Lam, Jianmin Li, Lin Wang, Wenjing Jia, Qiang Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


Edge detection plays an important role in image processing area. This paper presents a Canny edge detection method based on bilateral filtering which achieves better performance than single Gaussian filtering. In this form of filtering, both spatial closeness and intensity similarity of pixels are considered in order to preserve important visual cues provided by edges and reduce the sharpness of transitions in intensity values as well. In addition, the edge detection method proposed in this paper is achieved on sampled images represented on a real hexagonal structure. Due to the compact and circular nature of the hexagonal lattice, a better quality edge map is obtained on the hexagonal structure than common edge detection on square structure. Experimental results using proposed methods exhibit also the faster speed of detection on hexagonal structure.
Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Proceedings
Number of pages12
EditionPART 1
Publication statusPublished - 1 Dec 2010
Event12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010 - Sydney, NSW, Australia
Duration: 13 Dec 201016 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6474 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010
CitySydney, NSW


  • bilateral filtering
  • Canny edge detection
  • Gaussian filtering
  • hexagonal image structure
  • image analysis
  • image processing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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