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Computer and Machine Vision : Theory, Algorithms, Practicalities by E. R. Davies (2012, Hardcover)

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Title: Computer and Machine Vision: Theory, Algorithms, Practicalities Item Condition: New. Author: E. R. Davies ISBN 10: 0123869080. Publisher: Academic Press ISBN 13: 9780123869081. Binding: Hardcover Language: english.

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0123869080
ISBN-13
9780123869081
eBay Product ID (ePID)
112171559

Product Key Features

Number of Pages
912 Pages
Language
English
Publication Name
Computer and Machine Vision : Theory, Algorithms, Practicalities
Subject
Engineering (General), Library & Information Science / General, Computer Vision & Pattern Recognition
Publication Year
2012
Type
Textbook
Author
E. R. Davies
Subject Area
Computers, Technology & Engineering, Language Arts & Disciplines
Format
Hardcover

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Edition Number
4
Intended Audience
Scholarly & Professional
LCCN
2011-277820
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/7
Table Of Content
1. Vision, the Challenge2. Images and Imaging Operations3. Basic Image Filtering Operations4. Thresholding Techniques5. Edge Detection6. Corner and Interest Point Detection7. Mathematical Morphology8. Texture9. Binary Shape Analysis10. Boundary Pattern Analysis11. Line Detection12. Circle and Ellipse Detection13. The Hough Transform and Its Nature14. Abstract Pattern Matching Techniques15. The Three-Dimensional World16. Tackling the perspective n-point problem17. Invariants and perspective18. Image transformations and camera calibration19. Motion20. Automated Visual Inspection21. Inspection of Cereal Grains22. Surveillance23. In-Vehicle Vision Systems24 Statistical Pattern Recognition25. Image Acquisition26. Real-Time Hardware and Systems Design Considerations27. Epilogue - Perspectives in VisionAppendix Robust statistics
Synopsis
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 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, 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
LC Classification Number
TA1634.D386 2012

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item 1 Computer and Machine Vision: Theory, Algorithms, Practicalities, Davies, E. R.,
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item 2 Computer and Machine Vision: Theory, Algorithms, Practicalities by E R Davies
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item 3 COMPUTER AND MACHINE VISION, FOURTH EDITION: THEORY, By E. R. Davies - Hardcover
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item 4 Computer and Machine Vision: Theory, Algorithms, Practicalities, Davies, E. R.,
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item 5 Computer and Machine Vision: Theory, Algorithms, Practicalities by Davies New.=
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Computer and Machine Vision : Theory, Algorithms, Practicalities by E. R. Davies (2012, Hardcover)

About this product

Product Identifiers

Product Key Features

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Additional Product Features

All listings for this product

item 1 Computer and Machine Vision: Theory, Algorithms, Practicalities, Davies, E. R.,

item 2 Computer and Machine Vision: Theory, Algorithms, Practicalities by E R Davies

item 3 COMPUTER AND MACHINE VISION, FOURTH EDITION: THEORY, By E. R. Davies - Hardcover

item 4 Computer and Machine Vision: Theory, Algorithms, Practicalities, Davies, E. R.,

item 5 Computer and Machine Vision: Theory, Algorithms, Practicalities by Davies New.=

item 6 Computer and Machine Vision: Theory, Algorithms, Practicalities by E R Davies

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Pmbok® Guide Ser.: Guide to the Project Management Body of Knowledge (PMBOK® Guide) - Seventh Edition and the Standard for Project Management (ENGLISH) by Project Management Institute (2021, Trade Paperback)

Diagnostic and Statistical Manual of Mental Disorders : DSM-5-TR by American Psychiatric Association (2022, Hardcover)

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