Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development.
Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter.
The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each chapter.
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INTRODUCTION TO COMPUTER IMAGING
Computer Imaging
Overview
Image Analysis and Computer Vision
Image Processing
Key Points
References and Further Reading
Exercises
Computer Imaging Systems
Imaging Systems Overview
Image Formation and Sensing
The CVIPtools Software
Image Representation
Key Points
References and Further Reading
Exercises
DIGITAL IMAGE ANALYSIS
Introduction to Digital Image Analysis
Introduction
Preprocessing
Binary Image Analysis
Key Points
References and Further Reading
Exercises
Segmentation and Edge/Line Detection
Introduction and Overview
Edge/Line Detection
Segmentation
Key Points
References and Further Reading
Exercises
Discrete Transforms
Introduction and Overview
Fourier Transform
Cosine Transform
Walsh-Hadamard Transform
Haar Transform
Principal Components Transform
Filtering
Wavelet Transform
Key Points
References and Further Reading
Exercises
Feature Analysis and Pattern Classification
Introduction and Overview
Feature Extraction
Feature Analysis
Pattern Classification
Key Points
References and Further Reading
Exercises
DIGITAL IMAGE PROCESSING
Digital Image Processing and Visual Perception
Introduction and Overview
Human Visual Perception
Image Fidelity Criteria
Key Points
References and Further Reading
Exercises
Image Enhancement
Introduction and Overview
Gray-Scale Modification
Image Sharpening
Image Smoothing
Key Points
References and Further Reading
Exercises
Image Restoration
Introduction and Overview
Noise Models
Noise Removal Using Spatial Filters
The Degradation Function
Frequency Domain Filters
Geometric Transforms
Key Points
References and Further Reading
Exercises
Image Compression
Introduction and Overview
Lossless Compression Methods
Lossy Compression Methods
Key Points
References and Further Reading
Exercises
PROGRAMMING WITH CVIPTOOLS
CVIPlab
Introduction to CVIPlab
Toolkits, Toolbox and Application Libraries
Compiling and Linking CVIPlab
Image Data and File Structures
CVIP Projects
CVIPtools C Function Libraries
Introduction and Overview
Arithmetic and Logic Library
Band Image Library
Color Image Library
Compression Library
Conversion Library
Display Library
Feature Extraction Library
Geometry Library
Histogram Library
Image Library
Data Mapping Library
Morphological Library
Noise Library
Segmentation Library
Spatial Filter Library
Transform Library
Transform Filter Library
APPENDICES
CD-ROM/Software
Configuring and Updating CVIPtools
CVIPtools C functions
CVIP Resources
CVIPtools Software Organization
COM functions - cviptools.dll
Book by Scott E Umbaugh
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