Refining edge detection within spiral architecture

Xiangjian He, T. Hintz

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

9 Citations (Scopus)


Detection of edge points of 3-dimensional physical object in a 2-dimensional image is one of the main research areas of computer vision. Object contour detection and object recognition rely heavily on edge detection. The Spiral Architecture, a relatively new image structure, possesses powerful computational features that are pertinent to the vision process. In this paper, we present an edge detection scheme using Gaussian Multi-resolution Theory. The detection algorithm reduces noise and unnecessary details of the image. This algorithm is applied to obtain the edge maps of some well-known images for image processing.

Original languageEnglish
Title of host publicationProceedings - 23rd Australasian Computer Science Conference, ACSC 2000
EditorsJenny Edwards
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)076950518X, 9780769505183
Publication statusPublished - 2000
Externally publishedYes
Event23rd Australasian Computer Science Conference, ACSC 2000 - Canberra, Australia
Duration: 31 Jan 20003 Feb 2000

Publication series

NameProceedings - 23rd Australasian Computer Science Conference, ACSC 2000


Conference23rd Australasian Computer Science Conference, ACSC 2000

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software


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