Understanding and Applying Machine Vision, Second Edition, Revised and Expanded
By Nello Zeuch
Published January 3rd 2000 by CRC Press – 416 pages
Published January 3rd 2000 by CRC Press – 416 pages
A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances of the engineering and system integration of machine vision technology.
"Praise for the previous edition. . . If you are getting involved in machine vision and want to avoid the pain and suffering of your predecessors, buy this book. . .. [This book] is a long needed general reference for the machine vision consumer. The clear and to the point technical discussions have just enough meat that the important problems encountered by the end user can be addressed. . ..many designers of machine vision applications could benefit from this book as a general reference beyond their expertise areas. . .. recommended."
---Applied Mechanics Reviews
Machine vision - a data acquisition system; machine vision -historical perspective; description of the machine vision industry; the what and why of machine vision; machine vision - introductory concepts; image acquisition; image conversion; image processing and decision-making; three-dimensional machine vision techniques; applications of machine vision in leading user industries; comments about some common generic applications found in manufacturing; evaluation machine vision applications; application analysis and implementation; alternatives to machine vision.
Name: Understanding and Applying Machine Vision, Second Edition, Revised and Expanded (Hardback) – CRC Press
Description: By Nello Zeuch. A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and...
Categories: Industrial Engineering & Manufacturing, Computer Engineering