Computer Imaging

Computer Imaging: Digital Image Analysis and Processing

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Hardback
$109.95
ISBN 9780849329197
Cat# 2919
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Features

  • Combines image analysis and image processing into the unified framework that is necessary for understanding computer vision and image processing applications
  • Integrates theoretical material with an engineering approach
  • Introduces an image analysis model that serves as a foundation for the imaging tools discussed
  • Includes a CD-ROM containing a complete CVIPtools environment, book figures in linked html format, and Word documents of all original figures
  • Provides tutorial and programming exercises in each chapter using CVIPtools, enabling hands-on experience and insight into algorithms and parameters
  • Offers imaging examples and links to other imaging sites via an accompanying Web site
  • Summary

    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.

    Table of Contents

    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

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