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.