Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets) - Info and Reading Options
By James C. Bezdek
"Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)" is published by Springer in March 25, 2005 - New York, it has 776 pages and the language of the book is English.
“Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)” Metadata:
- Title: ➤ Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)
- Author: James C. Bezdek
- Language: English
- Number of Pages: 776
- Publisher: Springer
- Publish Date: March 25, 2005
- Publish Location: New York
“Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)” Subjects and Themes:
- Subjects: ➤ Optical pattern recognition - Computer engineering - Structural control (Engineering) - Artificial intelligence - Fuzzy algorithms - Cluster analysis - Image processing - Computer vision - Pattern perception - Electrical engineering - Artificial Intelligence (incl. Robotics) - Computer science - Control, Robotics, Mechatronics - Automatic control - Electronic and Computer Engineering
Edition Identifiers:
- The Open Library ID: OL7444714M - OL16921935W
- Library of Congress Control Number (LCCN): 2005042541
- ISBN-13: 9780387245157
- ISBN-10: 0387245154
- All ISBNs: 0387245154 - 9780387245157
AI-generated Review of “Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)”:
Snippets and Summary:
There is no lack of definitions for the term pattern recognition.
"Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)" Description:
The Open Library:
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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