Multiscale fuzzy reasoning (MFR) for object extraction

A. Sheikh Akbari, J.J. Soraghan

Research output: Contribution to conferencePaper

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

Original languageEnglish
Pages361-364
Number of pages3
Publication statusPublished - Sep 2003
EventVisualization, Imaging, and Image Processing (VIIP 2003) - Benalmadena, Spain
Duration: 8 Sep 200310 Sep 2003

Conference

ConferenceVisualization, Imaging, and Image Processing (VIIP 2003)
CountrySpain
CityBenalmadena
Period8/09/0310/09/03

Keywords

  • object extraction
  • fuzzy reasoning
  • wavelet transform
  • edge detection
  • MFR
  • multiscale

Fingerprint Dive into the research topics of 'Multiscale fuzzy reasoning (MFR) for object extraction'. Together they form a unique fingerprint.

  • Cite this

    Sheikh Akbari, A., & Soraghan, J. J. (2003). Multiscale fuzzy reasoning (MFR) for object extraction. 361-364. Paper presented at Visualization, Imaging, and Image Processing (VIIP 2003) , Benalmadena, Spain.