This study introduces the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Series: The Handbooks of Fuzzy Sets. Num Pages: 776 pages, biography. BIC Classification: PBWX; UYQV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 42. Weight in Grams: 1282. . 1999. Hardback. . . . .

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Bibliographic Details

Title: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Publisher: Kluwer Academic Publishers
Publication Date: 1999
Language: English
ISBN 10: 0792385217
ISBN 13: 9780792385219
Binding: Hardcover
Condition: New

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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.

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