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AuthorBezdek, James C. author
TitleFuzzy Models and Algorithms for Pattern Recognition and Image Processing [electronic resource] / by James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil R. Pal
ImprintBoston, MA : Springer US : Imprint: Springer, 1999
Connect tohttp://dx.doi.org/10.1007/b106267
Descript XVI, 776 p. online resource

SUMMARY

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering


CONTENT

Pattern Recognition -- Cluster Analysis for Object Data -- Cluster Analysis for Relational Data -- Classifier Design -- Image Processing and Computer Vision


Computer science Artificial intelligence Pattern recognition Control engineering Robotics Mechatronics Electrical engineering Computer Science Artificial Intelligence (incl. Robotics) Pattern Recognition Control Robotics Mechatronics Electrical Engineering



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