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  3. Machine Vision
  • Cited by 19
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    • Publisher:
      Cambridge University Press
      Publication date:
      June 2012
      January 2004
      ISBN:
      9781139168229
      9780521169813
      DOI:
      https://doi.org/10.1017/CBO9781139168229
      Dimensions:
      Weight & Pages:
      Dimensions:
      (246 x 189 mm)
      Weight & Pages:
      0.8kg, 452 Pages
      • Subjects:
      Engineering, Computer Science, Computer Graphics, Image Processing and Robotics, Image Processing and Machine Vision
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    Subjects:
    Engineering, Computer Science, Computer Graphics, Image Processing and Robotics, Image Processing and Machine Vision
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    Book description

    This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used in the book can be found at www.cambridge.org/9780521830461. A useful reference for practitioners, the book is aimed at graduate students in electrical engineering, computer science and mathematics.

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