PART I: FUNDAMENTALS -- 1 INTRODUCTION -- 1.1 The World of Signals -- 1.2 Digital Image Processing -- 1.3 Elements of an Image Processing System -- Appendix 1.A Selected List of Books on Image Processing and Computer Vision from Year 2000 -- References -- 2 MATHEMATICAL PRELIMINARIES -- 2.1 Laplace Transform -- 2.2 Fourier Transform -- 2.3 Z-Transform -- -- 2.4 Cosine Transform -- 2.5 Wavelet Transform -- 3 IMAGE ENHANCEMENT -- 3.1 Grayscale Transformation -- 3.2 Piecewise Linear Transformation -- 3.3 Bit Plane Slicing -- 3.4 Histogram Equalization -- 3.5 Histogram Specification -- 3.6 Enhancement by Arithmetic Operations -- 3.7 Smoothing Filter -- 3.8 Sharpening Filter -- 3.9 Image Blur Types and Quality Measures -- 4 MATHEMATICAL MORPHOLOGY -- 4.1 Binary Morphology -- 4.2 Opening and Closing -- 4.3 Hit-or-Miss Transform -- 4.4 Grayscale Morphology -- 4.5 Basic Morphological Algorithms -- 4.6 Morphological Filters -- 5 IMAGE SEGMENTATION -- 5.1 Thresholding -- 5.2 Object (Component) Labeling -- 5.3 Locating Object Contours by the Snake Model -- 5.4 Edge Operators -- 5.5 Edge Linking by Adaptive Mathematical Morphology -- 5.6 Automatic Seeded Region Growing -- 5.7 A Top-Down Region Dividing Approach -- 6 DISTANCE TRANSFORMATION AND SHORTEST PATH PLANNING -- 6.1 General Concept -- 6.2 Distance Transformation by Mathematical Morphology -- 6.3 Approximation of Euclidean Distance -- 6.4 Decomposition of Distance Structuring Element -- 6.5 The 3D Euclidean Distance -- 6.6 The Acquiring Approaches -- 6.7 The Deriving Approaches -- 6.8 The Shortest Path Planning -- 6.9 Forward and Backward Chain Codes for Motion Planning -- 6.10 A Few Examples -- 7 IMAGE REPRESENTATION AND DESCRIPTION -- 7.1 Run-Length Coding -- 7.2 Binary Tree and Quadtree -- 7.3 Contour Representation -- 7.4 Skeletonization by Thinning -- 7.5 Medial Axis Transformation -- 7.6 Object Representation and Tolerance -- 8 FEATURE EXTRACTION -- 8.1 Fourier Descriptor and Moment Invariants -- 8.2 Shape Number and Hierarchical Features.

8.3 Corner Detection -- 8.4 Hough Transform -- 8.5 Principal Component Analysis -- 8.6 Linear Discriminate Analysis -- 8.7 Feature Reduction in Input and Feature Spaces -- 9 PATTERN RECOGNITION -- 9.1 The Unsupervised Clustering Algorithm -- 9.2 Bayes Classifier -- 9.3 Support Vector Machine -- 9.4 Neural Networks -- 9.5 The Adaptive Resonance Theory Network -- 9.6 Fuzzy Sets in Image Analysis -- PART II: APPLICATIONS -- 10 FACE IMAGE PROCESSING AND ANALYSIS -- 10.1 Face and Facial Feature Extraction -- 10.2 Extraction of Head and Face Boundaries and Facial Features -- 10.3 Recognizing Facial Action Units -- 10.4 Facial Expression Recognition in JAFFE Database -- 11 DOCUMENT IMAGE PROCESSING AND CLASSIFICATION -- 11.1 Block Segmentation and Classification -- 11.2 Rule-Based Character Recognition System -- 11.3 Logo Identification -- 11.4 Fuzzy Typographical Analysis for Character Preclassification -- 11.5 Fuzzy Model for Character Classification -- 12 IMAGE WATERMARKING -- 12.1 Watermarking Classification -- 12.2 Spatial Domain Watermarking -- 12.3 Frequency-Domain Watermarking -- 12.4 Fragile Watermark -- 12.5 Robust Watermark -- 12.6 Combinational Domain Digital Watermarking -- 13 IMAGE STEGANOGRAPHY -- 13.1 Types of Steganography -- 13.2 Applications of Steganography -- 13.3 Embedding Security and Imperceptibility -- 13.4 Examples of Steganography Software -- 13.5 Genetic Algorithm-Based Steganography -- 14 SOLAR IMAGE PROCESSING AND ANALYSIS -- 14.1 Automatic Extraction of Filaments -- 14.2 Solar Flare Detection -- 14.3 Solar Corona Mass Ejection Detection -- INDEX.