Multiscale fuzzy reasoning (MFR) for automatic object extraction

Authors:
A. Sheikh Akbari;J. J. Soraghan
Affiliations:
Department of Electronic and Electrical Engineering, Institute of Communications and Signal Processing, University of Strathclyde, 204 George Street, Glasgow G1 1XW, United Kingdom;Department of Electronic and Electrical Engineering, Institute of Communications and Signal Processing, University of Strathclyde, 204 George Street, Glasgow G1 1XW, United Kingdom
Venue:
Pattern Recognition Letters
Year:
2005

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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.