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      Cover image for Machine vision theory, algorithms, practicalities
      1. 
      Machine vision theory, algorithms, practicalities
      by 
      Davies, E. R. (E. Roy)
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      Machine vision theory, algorithms, practicalities / Davies, E. R. (E. Roy)
      Cover image for Machine vision : theory, algorithms, practicalities
      2. 
      Machine vision : theory, algorithms, practicalities
      by 
      Davies, E. R. (E. Roy)
      ScienceDirect https://www.sciencedirect.com/science/book/9780122060939
      Format: 
      Excerpt: 
      Machine vision : theory, algorithms, practicalities / Davies, E. R. (E. Roy)
      Cover image for Computer vision : principles, algorithms, applications, learning
      3. 
      Computer vision : principles, algorithms, applications, learning
      by 
      Davies, E. R., author.
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      Computer vision : principles, algorithms, applications, learning / Davies, E. R., author.
      Cover image for Machine vision : algorithms, architectures, and systems
      4. 
      Machine vision : algorithms, architectures, and systems
      by 
      Freeman, Herbert.
      ScienceDirect https://www.sciencedirect.com/science/book/9780122667206
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      Excerpt: 
      Machine vision : algorithms, architectures, and systems / Freeman, Herbert.
      Cover image for Algorithms for image processing and computer vision
      5. 
      Algorithms for image processing and computer vision
      by 
      Parker, J. R.
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      Algorithms for image processing and computer vision Parker, J. R.
      Cover image for Computer and machine vision theory, algorithms, practicalities
      6. 
      Computer and machine vision theory, algorithms, practicalities
      by 
      Davies, E. R.
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      Computer and machine vision theory, algorithms, practicalities / Davies, E. R.
      Cover image for Computer and machine vision theory, algorithms, practicalities
      7. 
      Computer and machine vision theory, algorithms, practicalities
      by 
      Davies, E. R.
      ScienceDirect http://www.sciencedirect.com/science/book/9780123869081
      Format: 
      Excerpt: 
      Computer and machine vision theory, algorithms, practicalities / Davies, E. R.
      Cover image for Low-rank models in visual analysis : theories, algorithms, and applications
      8. 
      Low-rank models in visual analysis : theories, algorithms, and applications
      by 
      Lin, Zhouchen, author.
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      Low-rank models in visual analysis : theories, algorithms, and applications / Lin, Zhouchen, author.
      Cover image for Hands-on algorithms for computer vision : learn how to use the best and most practical computer vision algorithms using OpenCV
      9. 
      Hands-on algorithms for computer vision : learn how to use the best and most practical computer vision algorithms using OpenCV
      by 
      Tazehkandi, Amin Ahmadi, author.
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      Hands-on algorithms for computer vision : learn how to use the best and most practical computer
      Cover image for Multimodal scene understanding : algorithms, applications and deep learning
      10. 
      Multimodal scene understanding : algorithms, applications and deep learning
      by 
      Yang, Michael Ying, editor.
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      Multimodal scene understanding : algorithms, applications and deep learning / Yang, Michael Ying
      Cover image for Feature extraction & image processing for computer vision
      11. 
      Feature extraction & image processing for computer vision
      by 
      Nixon, Mark S.
      ScienceDirect http://www.sciencedirect.com/science/book/9780123965493
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      Excerpt: 
      , "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the
      Cover image for Computer vision and applications : a guide for students and practitioners
      12. 
      Computer vision and applications : a guide for students and practitioners
      by 
      Jähne, Bernd, 1953-
      ScienceDirect http://www.sciencedirect.com/science/book/9780123797773
      Format: 
      Excerpt: 
      imaging process to high-end algorithms and applications. This book consists of three parts, including an
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