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Machine Vision [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Snyder, Wesley E., Qi, Hairong
  • Author:  Snyder, Wesley E., Qi, Hairong
  • ISBN-10:  052116981X
  • ISBN-10:  052116981X
  • ISBN-13:  9780521169813
  • ISBN-13:  9780521169813
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  452
  • Pages:  452
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2010
  • Pub Date:  01-May-2010
  • SKU:  052116981X-11-MPOD
  • SKU:  052116981X-11-MPOD
  • Item ID: 100823707
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
A 2004 introduction to machine vision that includes many programming exercises.This 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. A CD-ROM containing software and data used in these exercises is included. The book is aimed at graduate students in electrical engineering, computer science, and mathematics. It will also be a useful reference for practitioners.This 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. A CD-ROM containing software and data used in these exercises is included. The book is aimed at graduate students in electrical engineering, computer science, and mathematics. It will also be a useful reference for practitioners.Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.1. Introduction; 2. Review of mathematical principles; 3. Writing programs to process images; 4. Images: description and characterization; 5. Linear operators and kernels; 6. Image relaxation: restolĐ
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