Edge detection using 2-D local structural information

W. E. Higgins, C. M. Hsu

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

1 Scopus citations

Abstract

A description is presented of three related methods for detecting 2-D region discontinuities. One method extends Y. Leclerc's (1985) 2-D work. The other two arise from the concept behind the maximum-homogeneity filter. All of the methods use some form of 2-D neighborhood-partitioning mechanism, like that of Leclerc, and hence use 2-D local structural information. Also, all the methods allow detection of multiple edges about an image point. The methods are described and illustrative results presented.

Original languageEnglish (US)
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherPubl by IEEE
Pages2549-2552
Number of pages4
ISBN (Print)0780300033
DOIs
StatePublished - Jan 1 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: May 14 1991May 17 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume4
ISSN (Print)0736-7791

Other

OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period5/14/915/17/91

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Higgins, W. E., & Hsu, C. M. (1991). Edge detection using 2-D local structural information. In Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 2549-2552). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 4). Publ by IEEE. https://doi.org/10.1109/icassp.1991.150921