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This book provides a detailed background to machine vision, a subject that has evolved to embrace a diverse range of topics. With an emphasis on the theory underpinning practicalities, the book covers the area of image processing, image analysis and machine/computer vision, including automated visual inspection.
The second edition incorporates many recent advances in the theory and practice of machine vision, including 3-D interpretation, invariants, camera calibration, artificial neural networks, x-ray inspection and foreign object detection, mathematical morphology, robust statistics, and an updated and very extensive list of references.
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Previews available in: English
Showing 7 featured editions. View all 7 editions?
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1
Machine Vision: Theory, Algorithms, Practicalities
2014, Elsevier Science & Technology Books
in English
1483275612 9781483275611
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2
Machine vision: theory, algorithms, practicalities
2005, Elsevier
in English
- 3rd ed.
0122060938 9780122060939
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3
Machine Vision : Theory, Algorithms, Practicalities
December 22, 2004, Morgan Kaufmann
in English
0122060938 9780122060939
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4
Machine Vision: Theory, Algorithms, Practicalities
2004, Elsevier Science & Technology Books
in English
0080473245 9780080473246
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5
Machine Vision : Theory, Algorithms, Practicalities
December 22, 2004, Morgan Kaufmann
Hardcover
in English
- 3 edition
0122060938 9780122060939
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6
Machine Vision: Theory, Algorithms, Practicalities (Signal Processing and Its Applications Series)
November 1996, Morgan Kaufmann Publishers
Paperback
in English
- 2nd edition
012206092X 9780122060922
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7
Machine Vision: Theory, Algorithms, Practicalities (Microelectronics and Signal Processing Series)
January 1991, Academic Press
Hardcover
in English
0122060903 9780122060908
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Book Details
Edition Notes
Includes bibliographical references (p. 869-915) and index.
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Feedback?August 6, 2024 | Edited by MARC Bot | import existing book |
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