Digital Imaging and Processing

  1. Pattern Recognition and Classification
    1. Pattern Recognition Fundamentals
      1. Pattern and Pattern Classes
        1. Definition of Patterns
          1. Feature Vectors
            1. Pattern Classes
              1. Training and Test Sets
              2. Recognition System Components
                1. Sensing
                  1. Preprocessing
                    1. Feature Extraction
                      1. Classification
                        1. Post-processing
                      2. Statistical Pattern Recognition
                        1. Decision Theory
                          1. Bayes Decision Theory
                            1. Minimum Error Rate Classification
                              1. Minimum Risk Classification
                              2. Parametric Methods
                                1. Maximum Likelihood Estimation
                                  1. Bayesian Parameter Estimation
                                    1. Gaussian Classifiers
                                    2. Non-parametric Methods
                                      1. Histogram Methods
                                        1. Kernel Density Estimation
                                          1. k-Nearest Neighbor Classifier
                                        2. Template Matching
                                          1. Correlation-Based Matching
                                            1. Normalized Cross-Correlation
                                              1. Template Selection
                                                1. Computational Considerations
                                                2. Distance-Based Matching
                                                  1. Euclidean Distance
                                                    1. Mahalanobis Distance
                                                      1. City-Block Distance
                                                    2. Neural Network Approaches
                                                      1. Perceptron
                                                        1. Single Layer Perceptron
                                                          1. Multi-Layer Perceptron
                                                          2. Backpropagation Algorithm
                                                            1. Convolutional Neural Networks
                                                              1. Basic Architecture
                                                                1. Applications in Image Recognition
                                                              2. Structural Pattern Recognition
                                                                1. String Matching
                                                                  1. Edit Distance
                                                                    1. Dynamic Programming
                                                                    2. Graph Matching
                                                                      1. Graph Isomorphism
                                                                        1. Subgraph Matching
                                                                        2. Syntactic Methods
                                                                          1. Grammar-Based Recognition
                                                                            1. Parsing Techniques
                                                                          2. Performance Evaluation
                                                                            1. Error Rates
                                                                              1. Classification Error
                                                                                1. Type I and Type II Errors
                                                                                2. Confusion Matrix
                                                                                  1. Receiver Operating Characteristic
                                                                                    1. Cross-Validation

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                                                                                  9. Feature Extraction and Description

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                                                                                  11. Advanced Topics and Applications