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