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Multiscale fuzzy reasoning (MFR) for object extraction

Sheikh Akbari, A. and Soraghan, J.J. (2003) Multiscale fuzzy reasoning (MFR) for object extraction. In: Visualization, Imaging, and Image Processing (VIIP 2003), 2003-09-08 - 2003-09-10, Benalmadena.

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Abstract

This paper describes a new Multiscale Fuzzy Reasoning (MFR) technique that is applied to automatic object extraction. The MFR utilizes skewed versions of an input frame. Each skewed frame is processed independently using fuzzy reasoning. The MFR achieves optimal edge detection using the wavelet decomposition of the signal followed by a novel fuzzy based decision technique that is applied across the scales. The resulting information is de skewed and combined using a fuzzy union operation. Results indicate a significant improvement in object extraction in undefined noisy environments using the MFR compared to object extraction using Mallat's multi scale technique

Item type: Conference or Workshop Item (Paper)
ID code: 38610
Keywords: object extraction, fuzzy reasoning, wavelet transform, edge detection, MFR, multiscale, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Unknown Department
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 20 Mar 2012 16:50
    Last modified: 17 Jul 2013 15:14
    URI: http://strathprints.strath.ac.uk/id/eprint/38610

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