Fuzzy Filters for Image Processing [electronic resource] /

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.

Bibliographic Details

Main Authors:	Nachtegael, Mike. editor., Weken, Dietrich Van der. editor., Kerre, Etienne E. editor., Ville, Dimitri Van De. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003
Subjects:	Engineering., Computer simulation., Image processing., Applied mathematics., Engineering mathematics., Appl.Mathematics/Computational Methods of Engineering., Simulation and Modeling., Image Processing and Computer Vision., Applications of Mathematics.,
Online Access:	http://dx.doi.org/10.1007/978-3-540-36420-7
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