Bilateral edge detection on a virtual hexagonal structure

He Xiangjian, Jia Wenjing, Namho Hur, Wu Qiang, Kim Jinwoong, Tom Hintz

Research output: Journal PublicationConference articlepeer-review

15 Citations (Scopus)


Edge detection plays an important role in image processing area. This paper presents an 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 newly developed virtual 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 encouraging performance.

Original languageEnglish
Pages (from-to)176-185
Number of pages10
JournalLecture Notes in Computer Science
Volume4292 LNCS - II
Publication statusPublished - 2006
Externally publishedYes
Event2nd International Symposium on Visual Computing, ISVC 2006 - Lake Tahoe, NV, United States
Duration: 6 Nov 20068 Nov 2006


  • Edge detection
  • Gaussian filtering
  • Hexagonal image structure
  • Image analysis
  • Image processing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


Dive into the research topics of 'Bilateral edge detection on a virtual hexagonal structure'. Together they form a unique fingerprint.

Cite this