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.
Pages: 240
Catégorie: Data & AI
e-ISBN: 9789812830111
Poids d'expédition: 1.2 kg
Expédié sous: 1-2 jours
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