Digital Image Processing and Analysis : Human and Computer Vision Applications with CVIPtools (Paperback, 2 Revised edition)

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