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Machine Vision

Machine Vision


  • Date Published: February 2004
  • availability: Temporarily unavailable - no date available
  • format: Mixed media product
  • isbn: 9780521830461

Mixed media product

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About the Authors
  • Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.

    • Describes essential theoretical background as well as cutting-edge applications
    • Includes many programming exercises that give insight into the development of image processing algorithms
    • A CD-ROM containing software and data used in the book is provided
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    Product details

    • Date Published: February 2004
    • format: Mixed media product
    • isbn: 9780521830461
    • length: 452 pages
    • dimensions: 255 x 194 x 32 mm
    • weight: 1.153kg
    • availability: Temporarily unavailable - no date available
  • Table of Contents

    1. Introduction
    2. Review of mathematical principles
    3. Writing programs to process images
    4. Images: description and characterization
    5. Linear operators and kernels
    6. Image relaxation: restoration and feature extraction
    7. Mathematical morphology
    8. Segmentation
    9. Shape
    10. Consistent labeling
    11. Parametric transform
    12. Graphs and graph-theoretic concepts
    13. Image matching
    14. Statistical pattern recognition
    15. Clustering
    16. Syntactic pattern recognition
    17. Applications
    18. Automatic target recognition.

  • general resources

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    General ResourcesSupporting Materials and Errata Listlinkn/aSort Order general resources general resources general resources general resources
    General ResourcesData FilesData files for use with the bookzip23214KB0data files general resources data files general resourcesdata files

    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email

  • Authors

    Wesley E. Snyder, North Carolina State University

    Hairong Qi, University of Tennessee, Knoxville

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