INTRODUCTION-Digital Image Processing System Image Perception Color Representation Image Acquition Image Digitization Image Model Scanners Noise Image Display and Recorder Image Processors Applications. STATISTICAL OPERATIONS-Basic Gray-level Transformation Histogram Processing l Gray Level Transformation Techniques Multi-image Operations. SPATIAL OPERATIONS AND TRANSFORMATIONS-Spatial Dependent Transformation Templates and Convolutions Other Window Operations Correlation Two-dimensional geometric transformations. SEGMENTATION AND EDGE DETECTION-Segmentation Region Based Segmentations Thresholding Basic Edge Detection First Order Derivative for Edge Detection Second Order Derivative for Edge Detection Color Edge Detection Pyramid Edge Detection Crack Edge Relaxation Edge Linking and Boundary Detection Edge Following. MORPHOLOGICAL OPERATIONS-Basic Morphological Operations Opening and Closing Operators Hit-or-Miss Transformations Basic Morphological Algorithms Extension to Gray-Scale Images. FINDING BASIC SHAPES-Combining Edges Hough Transform Bresenhams Algorithms Using Interest Points Problems. REASONING, FACTS AND INFERENCES-Fact and Rules Strategic Learning l Networks and Spatial Descriptors Rule Orders. OBJECT RECOGNITION-System Component Complexity of Object Recognition Object Representation Feature Detection Recognition Strategies . Verification. THE FREQUENCY DOMAIN-Discrete Fourier Transform Fast Fourier Transform Filtering in the Frequency Domain Discrete Cosine Transform Optical Transform. IMAGE COMPRESSION-Introduction to Image Compression Basic Requirements Different Types of Compression Coding Algorithms Other State-of-the-art Image Compression.
