Conference paper
New fuzzy model for edge detection
Applications of Fuzzy Logic Technology III, Vol.2761, pp.11-28
SPIE--The International Society for Optical Engineering
Proceedings of SPIE: Applications of Fuzzy Logic Technology III, Volume 2761 (Orlando, Florida, 10/04/1996–12/04/1996)
1996
Abstract
We view edge detection as a sequence of four operations: conditioning, feature extraction, blending and scaling. Understanding the geometry of the feature extraction and blending functions is the key to customized edge detection models. We examine the role of each of these components, and show how they lead to the determination of input-output data for edge detecting learning models such as neural networks and fuzzy systems. An example of constructing edge images from a digitized mammogram is given to illustrate the utility of this approach.
Details
- Title
- New fuzzy model for edge detection
- Authors/Creators
- J.C. Bezdek (Author/Creator) - University of West FloridaR. Chandrasekhar (Author/Creator) - The University of Western AustraliaY. Attikiouzel (Author/Creator) - The University of Western Australia
- Publication Details
- Applications of Fuzzy Logic Technology III, Vol.2761, pp.11-28
- Conference
- Proceedings of SPIE: Applications of Fuzzy Logic Technology III, Volume 2761 (Orlando, Florida, 10/04/1996–12/04/1996)
- Publisher
- SPIE--The International Society for Optical Engineering
- Identifiers
- 991005544124307891
- Copyright
- © (1996) COPYRIGHT SPIE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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