Digital Image Processing & Analysis: Human & Computer Vision Applications with CVIPtools, Second Edition Book

Section I Introduction to Digital Image Processing and Analysis

Digital Image Processing and Analysis
Overview Image Analysis and Computer Vision Image Processing and Human Vision Key Points Exercises References Further Reading

Computer Imaging Systems
Imaging Systems Overview Image Formation and Sensing CVIPtools Software Image Representation Key Points Exercises Supplementary Exercises References Further Reading

Section II Digital Image Analysis and Computer Vision

Introduction to Digital Image Analysis
Introduction Preprocessing Binary Image Analysis Key Points Exercises Supplementary Exercises References Further Reading

Segmentation and Edge/Line Detection
Introduction and Overview Edge/Line Detection Segmentation Key Points Exercises Supplementary Exercises References Further Reading

Discrete Transforms
Introduction and Overview Fourier Transform Discrete Cosine Transform Discrete Walsh–Hadamard Transform Discrete Haar Transform Principal Components Transform Filtering Discrete Wavelet Transform Key Points Exercises Supplementary Exercises References Further Reading

Feature Analysis and Pattern Classification
Introduction and Overview Feature Extraction Feature Analysis Pattern Classification Key Points Exercises Supplementary Exercises References Further Reading

Section III Digital Image Processing and Human Vision

Digital Image Processing and Visual Perception
Introduction and Overview Human Visual Perception Image Fidelity Criteria Key Points Exercises Supplementary Exercises References Further Reading

Image Enhancement
Introduction and Overview Gray-Scale Modification Image Sharpening Image Smoothing Key Points Exercises Supplementary Exercises References Further Reading

Image Restoration and Reconstruction
Introduction and Overview Noise Models Noise Removal Using Spatial Filters Degradation Function Frequency Domain Filters Geometric Transforms Image Reconstruction Key Points Exercises Supplementary Exercises References Further Reading

Image Compression
Introduction and Overview Lossless Compression Methods Lossy Compression Methods Key Points Exercises Supplementary Exercises References Further Reading

Section IV Programming and Application Development with CVIPtools

CVIPlab
Introduction to CVIPlab Toolkits, Toolboxes, and Application Libraries Compiling and Linking CVIPlab Image Data and File Structures CVIP Projects

Application Development
Introduction and Overview CVIP Algorithm Test and Analysis Tool CVIP Feature Extraction and Pattern Classification Tool Skin Lesion Classification Using Relative Color Features Automatic Segmentation of Blood Vessels in Retinal Images Classification of Land Types from Satellite Images Using Quadratic Discriminant Analysis and Multilayer Perceptrons Watershed-Based Approach to Skin Lesion Border Segmentation Faint Line Defect Detection in Microdisplay (CCD) Elements Melanoma and Seborrheic Keratosis Differentiation Using Texture Features Compression of Color Skin Tumor Images with Vector Quantization References

CVIPtools C^® Function Libraries
Introduction and Overview Arithmetic and Logic Library: ArithLogic.lib Band Image Library: Band.lib Color Image Library: Color.lib Compression Library: Compression.lib Conversion Library: Conversion.lib Display Library: Display.lib Feature Extraction Library: Feature.lib Geometry Library: Geometry.lib Histogram Library: Histogram.lib Image Library: Image.lib Data Mapping Library: Mapping.lib Morphological Library: Morphological.lib Noise Library: Noise.lib Segmentation Library: Segmentation.lib Spatial Filter Library: SpatialFilter.lib Transform Library: Transform.lib Transform Filter Library: TransformFilter.lib

Section V Appendices

CVIPtools CD Installing and Updating CVIPtools CVIPtools Software Organization CVIPtools C^® Functions Common Object Module (COM) Functions: cviptools.dll CVIP Resources

Index