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 I...
and over one million other books are available for Amazon Kindle.
Learn more
FREE Two-Day Shipping for Students. Learn more |
| ||||||||||||||||||||
Book Description
Special Offers and Product Promotions
- Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)
Product Details
Would you like to update product info or give feedback on images?
|
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
10 of 10 people found the following review helpful:
5.0 out of 5 stars
clustering algorithms overview and application to patterns,
By "kpratt1" (melbourne, fl United States) - See all my reviews
This review is from: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets) (Hardcover)
This is the first comprehensive review of clustering algorithms with enough detail to implement and apply them that I have found. It is readable for an upper level undergrad, and is a superb reference on the mixing of fuzzy methods, clustering, and visual pattern recognition. The notation and pseudocode are very clear, and the authors tell you the practicalities of the advantages and problems with the various methods. I have written code for artificial intelligence, clustering, image processing and fuzzy. This puts it all together and would have saved me months. Bezdek is a guru on this stuff and has an incredibly clear view of his subjects.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
The Bible for Clustering,
By
This review is from: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets) (Paperback)
This book is one of the best I have seen that completely covers clustering, and so many important applications of it to a wide variety of fields. The book is authored by some of the best researchers in the fields of fuzzy systems, pattern recognition and computational intelligence, so the text is complete, concise, and heavily informative.
2 of 32 people found the following review helpful:
1.0 out of 5 stars
Fuzzy Image Processing,
By Nhan Viet le (VietNam) - See all my reviews
This review is from: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets) (Hardcover)
Fuzzy Image processing in MTV'
Share your thoughts with other customers: Create your own review
|
|
Inside This Book
(learn more)
Browse and search another edition of this book.
Browse and search another edition of this book.
First Sentence:
There is no lack of definitions for the term pattern recognition. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
premise membership functions, supervising points, first level classifiers, crisp label vectors, fuzzy label vectors, dik values, fuzzy perimeter, compatibility fuzzy set, extrinsic diameter, shell clustering algorithms, soft decision tree, own singleton cluster, crisp labels, crisp decision trees, foveation point, learning rate distribution, possibilistic memberships, fuzzy covariance matrices, possibilistic labels, tumor pixels, numerical pattern recognition, prototype classifier design, terminal prototypes, crisp clusters, handwritten word recognition Key Phrases - Capitalized Phrases (CAPs): (learn more)
Saint Marc, Compare Figures, Miss Glyn, Shape Diameter, Store Relation New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
There is no lack of definitions for the term pattern recognition. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
premise membership functions, supervising points, first level classifiers, crisp label vectors, fuzzy label vectors, dik values, fuzzy perimeter, compatibility fuzzy set, extrinsic diameter, shell clustering algorithms, soft decision tree, own singleton cluster, crisp labels, crisp decision trees, foveation point, learning rate distribution, possibilistic memberships, fuzzy covariance matrices, possibilistic labels, tumor pixels, numerical pattern recognition, prototype classifier design, terminal prototypes, crisp clusters, handwritten word recognition Key Phrases - Capitalized Phrases (CAPs): (learn more)
Saint Marc, Compare Figures, Miss Glyn, Shape Diameter, Store Relation New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 77
books:
See all 77 books this book cites
21
books
cite this book:
See all 21 books citing this book
- Fuzzy Systems: Modeling and Control (The Handbooks of Fuzzy Sets) by Hung T. Nguyen on 4 pages
- Computational Intelligence: Imitating Life by Fla.) IEEE World Congress on Computational Intelligence (1994 : Orlando in Back Matter (1), and Back Matter (2)
- Handbook of Neural Computation: Supplement 1 by Emile Fiesler on page 379, and Back Matter
- The Ordered Weighted Averaging Operators: Theory and Applications by Ronald R. Yager in Back Matter (1), and Back Matter (2)
- Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications (The Springer International Series in Engineering and Computer Science) by Nicolaos Karayiannis in Back Matter (1), and Back Matter (2)
See all 77 books this book cites
- Pattern Recognition From Classical to Modern Approaches by Sankar K. Pal on page 19, page 134, and page 446
- Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving: 10th Portuguese Conference ... / Lecture Notes in Artificial Intelligence) by Pavel Brazdil on page 61
- Kohonen Maps by E. Oja on page 94
- Soft-Ware 2002: Computing in an Imperfect World: First International Conference, Soft-Ware 2002 Belfast, Northern Ireland, April 8-10, 2002 Proceedings (Lecture Notes in Computer Science) by David Bustard on page 245
- Graphical Models: Methods for Data Analysis and Mining by Christian Borgelt on page 330
See all 21 books citing this book
Books on Related Topics
(learn more)
|
Tags Customers Associate with This Product(What's this?)Click on a tag to find related items, discussions, and people.
|
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
So You'd Like to...
Look for Similar Items by Category
- Books > Computers & Technology > Computer Science > Artificial Intelligence
- Books > Computers & Technology > Graphic Design > Printing
- Books > Computers & Technology > Programming > Algorithms
- Books > New & Used Textbooks > Computer Science > Artificial Intelligence
- Books > Professional & Technical > Engineering
- Books > Science & Math > Physics > Optics
