Fuzzy Filters for Image Processing

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nachtegael, Mike (Editor, http://id.loc.gov/vocabulary/relators/edt), van der Weken, Dietrich (Editor, http://id.loc.gov/vocabulary/relators/edt), van de Ville, Dimitri (Editor, http://id.loc.gov/vocabulary/relators/edt), Kerre, Etienne E. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Edition: 1st ed. 2003.
• Series: Studies in Fuzziness and Soft Computing, 122
• Subjects: Applied mathematics.; Engineering mathematics.; Computer simulation.; Optical data processing.; Mathematical and Computational Engineering.; Simulation and Modeling.; Image Processing and Computer Vision.; Applications of Mathematics.
• Physical Description: XIV, 386 p. 518 illus., 13 illus. in color. online resource.
• ISBN: 9783540364207
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-540-36420-7

This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field.