Multiscale fuzzy reasoning (MFR) for automatic object extraction

Sheikh Akbari, A. and Soraghan, J.J. (2005) Multiscale fuzzy reasoning (MFR) for automatic object extraction. Pattern Recognition Letters, 26 (1). pp. 77-81. ISSN 0167-8655 (https://doi.org/10.1016/j.patrec.2004.09.002)

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.

ORCID iDs

Soraghan, J.J. ORCID: https://orcid.org/0000-0003-4418-7391

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• Item metadata

  Item type:	Article
  ID code:	7085
  Dates:	Date Event January 2005 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Strathprints Administrator
  Date deposited:	03 Nov 2008
  Last modified:	11 Nov 2024 08:45
  URI:	https://strathprints.strath.ac.uk/id/eprint/7085