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COMPUTER VISION AND FUZZY-NEURAL SYSTEMS By Arun D. Kulkarni - Hardcover

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eBay item number:204628632189

Item specifics

Condition: Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ... Very Good: A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab

Book Title: Computer Vision and Fuzzy-Neural Systems

ISBN-10: 0135705991

UPC: 076092010739

ISBN: 9780135705995

Publication Year: 2001

Type: Textbook

Format: CD-ROM / Trade Paperback

Language: English

Publication Name: Fuzzy-Neural Systems for Image Understanding

Item Height: 1.1in

Author: Arun D. Kulkarni

Item Length: 9.5in

Publisher: Prentice Hall PTR

Item Width: 7.3in

Item Weight: 36 Oz

Number of Pages: 528 Pages

About this product

Product Information

Fuzzy logic is an approach to computing that relates to the function of the brain. This title applies the principles of fuzzy-neural systems to areas of image understanding and computer vision such as remote sensing, medical image analysis, robot vision, and military operatives.

Product Identifiers

Publisher

Prentice Hall PTR

ISBN-10

0135705991

ISBN-13

9780135705995

eBay Product ID (ePID)

243459

Product Key Features

Author

Arun D. Kulkarni

Publication Name

Fuzzy-Neural Systems for Image Understanding

Format

CD-ROM / Trade Paperback

Language

English

Publication Year

2001

Type

Textbook

Number of Pages

528 Pages

Dimensions

Item Length

9.5in

Item Height

1.1in

Item Width

7.3in

Item Weight

36 Oz

Additional Product Features

Lc Classification Number

Ta1634.K85 2001

Edition Number

Table of Content

(NOTE: Each chapter begins with an Introduction and concludes with a Summary, References, and Exercises.) Preface. 1. Introduction. Computer Vision. Neural Network Models. Fuzzy Logic Techniques. Fuzzy Neural Systems. Outline. 2. Computer Vision Fundamentals. Human Vision System. Perception. Input-Output Devices. Camera Models. Sampling And Quantization. Preprocessing Techniques. Image Transforms. Feature Extraction And Recognition. 3. Fuzzy Logic Fundamentals. Fuzzy Sets And Membership Functions. Logical Operations And If-Then Rules. Fuzzy Inference System. Defuzzification. Fuzzy Set Representation With A Cube. Hedges. Fuzzy Systems As Function Approximators. Extraction Of Rules From Sample Data Points. Fuzzy Basis Functions. Design And Implementation Of A Fuzzy Inference System. 4. Neural Network Fundamentals. Neuron Representation. Perception. Linear Networks. Single-Layer Networks With Nonlinear Transfer Functions. Backpropagation. Kohonen Feature Maps. Competitive Learning. Hopfield Networks. Counterpropagation Network. 5. Preprocessing. Gray-Level Histogram. Point Operations. Filtering Techniques. Noise Removal Techniques. Mathematical Morphology. Edge Detection Techniques. Neural Network Models For Brightness Perception And Boundary Detection. Image Restoration. Geometric Corrections And Registration. Interpolation. 6. Feature Extraction. Segmentation And Shape Descriptors. Moment Invariants. Feature Extraction Using Orthogonal Transforms. Neural Network Models For Ft Domain Feature Extraction. Neural Network Model For Wht Domain Feature Extraction. Invariant Feature Extraction Using Adaline. Texture Features. Neural Network Models For Texture Analysis. 7. Supervised Classifiers. Discriminant Functions. Minimum Distance Classifiers. Bayes Classifier. Tree Classifiers. Neural Network Models For Classification. Fuzzy Neural Network Models. 8. Unsupervised Classifiers. Conventional Clustering Techniques. Self-Organizing Networks. Fuzzy C-Means Clustering. Fuzzy Neural Network Models For Clustering. 9. Associative Memories. Discrete Autocorrelator. Discrete Bidirectional Associative Memory. Bidirectional Associative Memories With Multiple Input-Output Patterns. Optimal Associative Memory. Selective Reflex Memory. Temporal Associative Memory. Counterpropagation Networks As Associative Memory. Fuzzy Associative Memory. Computer Vision Applications. 10. Applications. Remote Sensing. Medical Image Processing. Image Data Compression. Data Mining And Computer Vision. Biometric Applications. Character Recognition. Knowledge-Based Pattern Recognition. Stereo Vision. Index. About The Author. About The CD.

2001

Target Audience

Scholarly & Professional

Topic

Neural Networks

Lccn

2001-016382

Dewey Decimal

006.3/7

Dewey Edition

Illustrated

Yes

Genre

Computers

Item description from the seller

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eBay item number:204628632189

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COMPUTER VISION AND FUZZY-NEURAL SYSTEMS By Arun D. Kulkarni - Hardcover

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