Transform for detection of multiscale image structure

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a new transform to facilitate integrated edge and region detection in an image at all geometric and photometric scales at which structure is present. A major motivation and contribution of the presented approach is to avoid the use of a priori models of edge geometry which is an inherent limitation of linear approaches, but still allow detection of region boundaries with arbitrary curvature. The objective of this paper is to introduce the transform. We will illustrate the use of the transform for edge detection, and then outline its use for region skeleton extraction. For concreteness, we will assume that image regions have uniform gray levels and are surrounded by step edges, although the approach extends to other types of regions and edges.

Original languageEnglish (US)
Title of host publicationIEEE Computer Vision and Pattern Recognition
Editors Anon
PublisherPubl by IEEE
Pages780-781
Number of pages2
ISBN (Print)0818638826
StatePublished - Dec 1 1993
EventProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - New York, NY, USA
Duration: Jun 15 1993Jun 18 1993

Publication series

NameIEEE Computer Vision and Pattern Recognition

Other

OtherProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityNew York, NY, USA
Period6/15/936/18/93

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ahuja, N. (1993). Transform for detection of multiscale image structure. In Anon (Ed.), IEEE Computer Vision and Pattern Recognition (pp. 780-781). (IEEE Computer Vision and Pattern Recognition). Publ by IEEE.