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- 240 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Book details
Table of contents
Citations
About This Book
Contents:
- Introduction:
- Basic Concepts of Fuzzy Sets
- Fuzzy Relations
- Fuzzy Models for Image Processing and Pattern Recognition
- Membership Functions:
- Introduction
- Heuristic Selections
- Clustering Approaches
- Tuning of Membership Functions
- Concluding Remarks
- Optimal Image Thresholding:
- Introduction
- Threshold Selection Based on Statistical Decision Theory
- Non-fuzzy Thresholding Algorithms
- Fuzzy Thresholding Algorithm
- Unified Formulation of Three Thresholding Algorithms
- Multilevel Thresholding
- Applications
- Concluding Remarks
- Fuzzy Clustering:
- Introduction
- C-Means Algorithm
- Fuzzy C-Means Algorithm
- Comparison between Hard and Fuzzy Clustering Algorithms
- Cluster Validity
- Applications
- Concluding Remarks
- Line Pattern Matching:
- Introduction
- Similarity Measures between Line Segments
- Basic Matching Algorithm
- Dealing with Noisy Patterns
- Dealing with Rotated Patterns
- Applications
- Concluding Remarks
- Fuzzy Rule-based Systems:
- Introduction
- Learning from Examples
- Decision Tree Approach
- Fuzzy Aggregation Network Approach
- Minimization of Fuzzy Rules
- Defuzzification and Optimization
- Applications
- Concluding Remarks
- Combined Classifiers:
- Introduction
- Voting Schemes
- Maximum Posteriori Probability
- Multilayer Perceptron Approach
- Fuzzy Measures and Fuzzy Integrals
- Applications
- Concluding Remarks
Readership: Engineers and computer scientists.
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Yes, you can access Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition by Zheru Chi, Hong Yan, Tuan Pham in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Contents
- Preface
- Acknowledgements
- Chapter 1 Introduction
- Chapter 2 Membership Functions
- Chapter 3 Optimal Image Thresholding
- Chapter 4 Fuzzy Clustering
- Chapter 5 Line Pattern Matching
- Chapter 6 Fuzzy Rule-based Systems
- Chapter 7 Combined Classifiers
- Bibliography
- Index