by Zheru Chi (Hong Kong Polytechnic University, Hong Kong), Hong Yan (University of Sydney, Australia), & Tuan Pham (University of Sydney, Australia)

• 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