MULTI-SCALE EDGE DETECTION WITH GAUSSIAN FILTERS.

Xinhua Zhuang, Thomas S Huang

Research output: Contribution to journalConference article

Abstract

The authors give a possible solution to the multiscale edge detection problem. For ease of presentation only one-dimensional results are given; however, the proposed multiscale detector could be extended to include general two-dimensional images. Edge and inflection points are defined for 1-D images, and a simple statistical analysis of Gaussian filtering is given to show how noise removal is improved as the variance of a Gaussian filter increases. It is shown that the Gaussian filtering first suggested by D. Marr (1982) provides a good choice, but not a unique choice, for multiscale edge detectors.

Original languageEnglish (US)
Pages (from-to)2047-2050
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Dec 1 1986

Fingerprint

edge detection
Edge detection
Detectors
filters
inflection points
detectors
statistical analysis
Statistical methods

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

MULTI-SCALE EDGE DETECTION WITH GAUSSIAN FILTERS. / Zhuang, Xinhua; Huang, Thomas S.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 01.12.1986, p. 2047-2050.

Research output: Contribution to journalConference article

@article{c5bb09b1d9c245bca55a1efe9a990a6d,
title = "MULTI-SCALE EDGE DETECTION WITH GAUSSIAN FILTERS.",
abstract = "The authors give a possible solution to the multiscale edge detection problem. For ease of presentation only one-dimensional results are given; however, the proposed multiscale detector could be extended to include general two-dimensional images. Edge and inflection points are defined for 1-D images, and a simple statistical analysis of Gaussian filtering is given to show how noise removal is improved as the variance of a Gaussian filter increases. It is shown that the Gaussian filtering first suggested by D. Marr (1982) provides a good choice, but not a unique choice, for multiscale edge detectors.",
author = "Xinhua Zhuang and Huang, {Thomas S}",
year = "1986",
month = "12",
day = "1",
language = "English (US)",
pages = "2047--2050",
journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",
issn = "0736-7791",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - MULTI-SCALE EDGE DETECTION WITH GAUSSIAN FILTERS.

AU - Zhuang, Xinhua

AU - Huang, Thomas S

PY - 1986/12/1

Y1 - 1986/12/1

N2 - The authors give a possible solution to the multiscale edge detection problem. For ease of presentation only one-dimensional results are given; however, the proposed multiscale detector could be extended to include general two-dimensional images. Edge and inflection points are defined for 1-D images, and a simple statistical analysis of Gaussian filtering is given to show how noise removal is improved as the variance of a Gaussian filter increases. It is shown that the Gaussian filtering first suggested by D. Marr (1982) provides a good choice, but not a unique choice, for multiscale edge detectors.

AB - The authors give a possible solution to the multiscale edge detection problem. For ease of presentation only one-dimensional results are given; however, the proposed multiscale detector could be extended to include general two-dimensional images. Edge and inflection points are defined for 1-D images, and a simple statistical analysis of Gaussian filtering is given to show how noise removal is improved as the variance of a Gaussian filter increases. It is shown that the Gaussian filtering first suggested by D. Marr (1982) provides a good choice, but not a unique choice, for multiscale edge detectors.

UR - http://www.scopus.com/inward/record.url?scp=0022864408&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022864408&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0022864408

SP - 2047

EP - 2050

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

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

SN - 0736-7791

ER -