Canny edge detection on a virtual hexagonal image structure

Xiangjian He, Jianmin Li, Daming Wei, Wenjing Jia, Qiang Wu

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

8 Citations (Scopus)


Canny edge detector is the most popular tool for edge detection and has many applications in the areas of image processing, multimedia and computer vision. The Canny algorithm optimizes the edge detection through noise filtering using an optimal function approximated by the first derivative of a Gaussian. It identifies the edge points by computing the gradients of light intensity function based on the fact that the edge points likely appear where the gradient magnitudes are large. Hexagonal structure is an image structure alternative to traditional square image structure. Because all the existing hardware for capturing image and for displaying image are produced based on square structure, an approach that uses linear interpolation described for conversion between square and hexagonal structures. Gaussian filtering together with gradient computation is performed on the hexagonal structure. The pixel edge strengths on the square structure are then estimated before the thresholds of Canny algorithm are applied to determine the final edge map. The experimental results show the edge detection on hexagonal structure using static and video images, and the comparison with the results using Canny algorithm on square structure.

Original languageEnglish
Title of host publication2009 Joint Conferences on Pervasive Computing, JCPC 2009
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
Event2009 Joint Conferences on Pervasive Computing, JCPC 2009 - Tamsui, Taipei, Taiwan, Province of China
Duration: 3 Dec 20095 Dec 2009

Publication series

Name2009 Joint Conferences on Pervasive Computing, JCPC 2009


Conference2009 Joint Conferences on Pervasive Computing, JCPC 2009
Country/TerritoryTaiwan, Province of China
CityTamsui, Taipei


  • Canny edges
  • Edge detection
  • Gaussian filtering
  • Hexagonal structure
  • Image interpolation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Software


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