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Machine Vision

Machine Vision

$114.00 (Z)

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

$114.00 (Z)
Mixed media product

Temporarily unavailable - no date available
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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.

  • Resources for

    Machine Vision

    Wesley E. Snyder, Hairong Qi

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  • Authors

    Wesley E. Snyder, North Carolina State University

    Hairong Qi, University of Tennessee, Knoxville

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