Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Description

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 ofFuzzy 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. Front Matter....Pages i-xv Pattern Recognition....Pages 1-10 Cluster Analysis for Object Data....Pages 11-136 Cluster Analysis for Relational Data....Pages 137-182 Classifier Design....Pages 183-546 Image Processing and Computer Vision....Pages 547-678 Back Matter....Pages 679-776