Multiscale fuzzy reasoning (MFR) for automatic object extraction

A. Sheikh Akbari, J.J. Soraghan

Research output: Contribution to journalArticle

Abstract

A new Multiscale Fuzzy Reasoning (MFR) based image-processing technique for automatic object extraction is described. MFR utilizes skewed versions of an input frame wherein each skewed frame is processed independently using fuzzy reasoning. MFR achieves optimal edge detection using the wavelet decomposition followed by a novel fuzzy based decision technique. The processed frames are de-skewed and combined using a fuzzy union operation to extract the objects.
LanguageEnglish
Pages77-81
Number of pages5
JournalPattern Recognition Letters
Volume26
Issue number1
DOIs
Publication statusPublished - Jan 2005

Fingerprint

Wavelet decomposition
Edge detection
Image processing

Keywords

  • automatic object extraction
  • fuzzy reasoning
  • multiscale edge detection

Cite this

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Multiscale fuzzy reasoning (MFR) for automatic object extraction. / Sheikh Akbari, A.; Soraghan, J.J.

In: Pattern Recognition Letters, Vol. 26, No. 1, 01.2005, p. 77-81.

Research output: Contribution to journalArticle

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