Edge detection using 2-D local structural information

W. E. Higgins, C. M. Hsu

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

1 Citation (Scopus)

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
Editors Anon
PublisherPubl by IEEE
Pages2549-2552
Number of pages4
ISBN (Print)078030033
StatePublished - Dec 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

Fingerprint

D region
Edge detection

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Higgins, W. E., & Hsu, C. M. (1991). Edge detection using 2-D local structural information. In Anon (Ed.), 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.
Higgins, W. E. ; Hsu, C. M. / Edge detection using 2-D local structural information. Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. editor / Anon. Publ by IEEE, 1991. pp. 2549-2552 (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing).
@inproceedings{c3992dfbef7e483d83dd82ce1f6afabd,
title = "Edge detection using 2-D local structural information",
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.",
author = "Higgins, {W. E.} and Hsu, {C. M.}",
year = "1991",
month = "12",
day = "1",
language = "English (US)",
isbn = "078030033",
series = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",
publisher = "Publ by IEEE",
pages = "2549--2552",
editor = "Anon",
booktitle = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

}

Higgins, WE & Hsu, CM 1991, Edge detection using 2-D local structural information. in Anon (ed.), Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, Publ by IEEE, pp. 2549-2552, Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91, Toronto, Ont, Can, 5/14/91.

Edge detection using 2-D local structural information. / Higgins, W. E.; Hsu, C. M.

Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. ed. / Anon. Publ by IEEE, 1991. p. 2549-2552 (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 4).

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

TY - GEN

T1 - Edge detection using 2-D local structural information

AU - Higgins, W. E.

AU - Hsu, C. M.

PY - 1991/12/1

Y1 - 1991/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0026371009&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026371009&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0026371009

SN - 078030033

T3 - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SP - 2549

EP - 2552

BT - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

A2 - Anon, null

PB - Publ by IEEE

ER -

Higgins WE, Hsu CM. Edge detection using 2-D local structural information. In Anon, editor, Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. Publ by IEEE. 1991. p. 2549-2552. (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing).