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Computer and Machine Vision

Theory, Algorithms, Practicalities

Hardcover

Published: 18th April 2012
Ships: 7 to 10 business days
RRP $183.99
$165.90
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Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject.

Key features include:

  • Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice.

  • New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision.

  • Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.

  • Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging.

  • The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject.

Roy Davies is Emeritus Professor of Machine Vision at Royal Holloway, University of London. He has worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests include automated visual inspection, surveillance, vehicle guidance and crime detection. He has published more than 200 papers, and three books - Machine Vision: Theory, Algorithms, Practicalities (1990), Electronics, Noise and Signal Recovery (1993), and Image Processing for the Food Industry (2000); the first of these has been widely used internationally for more than 20 years, and is now out in this much enhanced fourth edition. Roy holds a DSc at the University of London, and has been awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.



    • Mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.

    • Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging.

    • The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject.

    Vision, the Challenge
    Images and Imaging Operations
    Basic Image Filtering Operations
    Thresholding Techniques
    Edge Detection
    Corner and Interest Point Detection
    Mathematical Morphology
    Texture
    Binary Shape Analysis
    Boundary Pattern Analysis
    Line Detection
    Circle and Ellipse Detection
    The Hough Transform and Its Nature
    Abstract Pattern Matching Techniques
    The Three-Dimensional World
    Tackling the perspective n-point problem
    Invariants and perspective
    Image transformations and camera calibration
    Motion
    Automated Visual Inspection
    Inspection of Cereal Grains
    Surveillance
    In-Vehicle Vision Systems24 Statistical Pattern Recognition
    Image Acquisition
    Real-Time Hardware and Systems Design Considerations
    Epilogue-Perspectives in Vision Appendix Robust statistics
    References
    Index
    Table of Contents provided by Publisher. All Rights Reserved.

    ISBN: 9780123869081
    ISBN-10: 0123869080
    Audience: Professional
    Format: Hardcover
    Language: English
    Number Of Pages: 912
    Published: 18th April 2012
    Dimensions (cm): 24.2 x 19.8  x 5.0
    Weight (kg): 1.72