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Machine Vision, by Wesley E. Snyder, Hairong Qi
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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.
- Published on: 2012-06-05
- Platform: No Operating System
- Original language: English
- Number of items: 1
- Binding: Printed Access Code
About the Author
Wesley Snyder received his PhD from the University of Illinois, and is currently Professor of Electrical and Computer Engineering at North Carolina State University. He has written over 100 scientific papers and is the author of the book Industrial Robots. He was a founder of both the IEEE Robotics and Automation Society and the IEEE Neural Networks Council. He has served as an advisor to the National Science Foundation, NASA, Sandia Laboratories, and the U.S. Army Research Office.
Hairong Qi received her PhD from North Carolina State University and is currently an Assistant Professor of Electrical and Computer Engineering at the University of Tennessee, Knoxville.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Not intended for automation industry machine applications. Awesome for students and science professionals..
By Laurence Virden
It's all theory based and formula based. It sounded as if this book was explaining machine vision tools in industry applications. For example explaining dilation tools..etc...it was math and formula based.
0 of 0 people found the following review helpful.
Great Book!
By D. Freeman
I love this text. I would buy it again in a heartbeat. It is expertly organized and interjects humor and down to earth examples to explain even the most difficult topics.
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