Fuzzy models and algorithms for pattern recognition and image processing

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.

Fuzzy models and algorithms for pattern recognition and image processing

James C. Bezdek

Springer

2005

Abstract

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.

Fuzzy models and algorithms for pattern recognition and image processing introductions:

1. Pattern Recognition

2. Cluster Analysis for Object Data

3. Cluster Analysis for Relational Data

4. Classifier Design

5. Image Processing and Computer Vision

Citation

James C. Bezdek, Fuzzy models and algorithms for pattern recognition and image processing, Springer, 2005

Collection

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