Fuzzy-based multiscale edge detection (FWOMED)

A. Sheikh Akbari, J.J. Soraghan

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

A new fuzzy-based multiscale edge detection technique is presented. The proposed approach achieves optimal edge detection using the wavelet decomposition of the original signal followed by a novel fuzzy-based decision technique that is applied across the scales. Results indicate a significant improvement in locating edges compared to other multiscale approaches.
LanguageEnglish
Pages30-32
Number of pages2
JournalElectronics Letters
Volume39
Issue number1
DOIs
Publication statusPublished - Feb 2003

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Edge detection
Wavelet decomposition

Keywords

  • decision technique
  • fuzzy reasoning
  • fuzzy-based technique
  • fuzzy operator
  • multiresolution representation
  • multiscale edge detection
  • wavelet decomposition

Cite this

Sheikh Akbari, A. ; Soraghan, J.J. / Fuzzy-based multiscale edge detection (FWOMED). In: Electronics Letters. 2003 ; Vol. 39, No. 1. pp. 30-32.
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Fuzzy-based multiscale edge detection (FWOMED). / Sheikh Akbari, A.; Soraghan, J.J.

In: Electronics Letters, Vol. 39, No. 1, 02.2003, p. 30-32.

Research output: Contribution to journalArticle

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AB - A new fuzzy-based multiscale edge detection technique is presented. The proposed approach achieves optimal edge detection using the wavelet decomposition of the original signal followed by a novel fuzzy-based decision technique that is applied across the scales. Results indicate a significant improvement in locating edges compared to other multiscale approaches.

KW - decision technique

KW - fuzzy reasoning

KW - fuzzy-based technique

KW - fuzzy operator

KW - multiresolution representation

KW - multiscale edge detection

KW - wavelet decomposition

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