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Practical Guide to Machine Vision Software
Kwon, Kye-Si; Ready, Steven
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Description for Practical Guide to Machine Vision Software
paperback. With its step-by-step, clear structure, this is an essential reference for both students and engineers in R&D that explains the topic in a concise, hands-on way. Includes problems and exercises for training purposes as well as to further explain the concept of machine vision. Num Pages: 296 pages. BIC Classification: TJ; UYQV. Category: (P) Professional & Vocational. Dimension: 244 x 173 x 16. Weight in Grams: 654.
For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments.
Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabling readers to quickly and efficiently use these functions ... Read more
For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments.
Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabling readers to quickly and efficiently use these functions ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Wiley-VCH Verlag GmbH Germany
Number of pages
296
Condition
New
Number of Pages
296
Place of Publication
Berlin, Germany
ISBN
9783527337569
SKU
V9783527337569
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About Kwon, Kye-Si; Ready, Steven
Kye-Si Kwon is an associate professor at Soonchunhyang University in Korea in the department of mechanical engineering. After his PhD, obtained from KAIST, Korea, in 1999, he was a member of research staffs in companies such as Samsung and LG electronics. He joined Soonchunhyang University in 2006 where his teaching and research is centered on inkjet-related measurement methods and system ... Read more
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