A triple-diagonal gradient-based edge detection

Qiang Wu, Xiangjian He, Tom Hintz

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

3 Citations (Scopus)

Abstract

Gradient-based edge detection is a straightforward method to identity the edge points in the original grey-level image. It is consistent with the intuition that in the human vision system the edge points always appear where the change of grey-level is greatest within their neighbourhood. In this paper, triple-diagonal gradient-based edge detection is introduced. It is based on the features of Spiral Architecture and computes the gradients in three diagonal directions instead of approximating the gradient in one direction only as the traditional methods do. Essentially, it improves the accuracy for locating edge points. As a result, it does not need any supplementary processing to enhance the edge map.

Original languageEnglish
Title of host publicationIASTED International Conference on Computer Graphics and Imaging
EditorsM.H. Hamza, M.H. Hamza
Pages244-249
Number of pages6
Publication statusPublished - 2003
Externally publishedYes
EventSixth IASTED International Conference on Computer Graphics and Imaging - Honolulu, HI, United States
Duration: 13 Aug 200315 Aug 2003

Publication series

NameIASTED International Conference on Computer Graphics and Imaging

Conference

ConferenceSixth IASTED International Conference on Computer Graphics and Imaging
Country/TerritoryUnited States
CityHonolulu, HI
Period13/08/0315/08/03

Keywords

  • Edge Detection
  • Laplacian of Gaussian Method
  • Spiral Architecture

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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