Rough Fuzzy Image Analysis
Foundations and Methodologies
Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, Rough Fuzzy Image Analysis: Foundations and
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Produktdetails
Weitere Autoren: Peters, James F. (Hrsg.)
- ISBN: 978-1-4398-0330-1
- EAN: 9781439803301
- Produktnummer: 32395694
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 266 S.
- Plattform: PDF
- Masse: 11'677 KB
Über den Autor
Sankar K. Pal is the director and a distinguished scientist of the Indian Statistical Institute in Kolkata. James F. Peters is a professor in the Department of Electrical and Computer Engineering and group leader of the Computational Intelligence Laboratory at the University of Manitoba in Winnipeg, Canada.
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