Editors:
- Comprehensive coverage: from basic optics to image capture and processing allows the reader to design and implement a practical and reliable machine vision system
- Image library of 200 sample images showing the power of the various methods of image acquisition and helping the reader to choose the most appropriate
- Powerful, comprehensive and fully documented interactive image processing library of 400 commands to give readers a head start in programming their own system
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Table of contents (50 entries)
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Front Matter
About this book
The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture – lenses, cameras, scanners and light sources – are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications ofmachine vision in inspecting and handling different types of object.
Editors and Affiliations
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School of Computer Science and Informatics, Cardiff University, Cardiff, UK
Bruce G. Batchelor
Bibliographic Information
Book Title: Machine Vision Handbook
Editors: Bruce G. Batchelor
DOI: https://doi.org/10.1007/978-1-84996-169-1
Publisher: Springer London
eBook Packages: Engineering, Reference Module Computer Science and Engineering
Copyright Information: Springer-Verlag London Ltd. 2012
Hardcover ISBN: 978-1-84996-168-4Published: 14 February 2012
eBook ISBN: 978-1-84996-169-1Published: 24 February 2012
Edition Number: 1
Number of Pages: LIV, 2271
Topics: Electrical Engineering, Image Processing and Computer Vision, Control, Robotics, Mechatronics, Quality Control, Reliability, Safety and Risk, Machinery and Machine Elements