Fuzzy Filters for Image Processing

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...

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Bibliographic Details
Other Authors: Nachtegael, Mike (Editor), van der Weken, Dietrich (Editor), van de Ville, Dimitri (Editor), Kerre, Etienne E. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2003, 2003
Edition:1st ed. 2003
Series:Studies in Fuzziness and Soft Computing
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XIV, 386 p. 518 illus., 13 illus. in color online resource
ISBN:9783540364207