Machine Vision Handbook
Machine Vision Handbook by Bruce G. Batchelor, published by Springer London on February 14, 2012, is a comprehensive resource that spans 2271 pages. This edition provides practical insights into the automation of visual inspection, emphasizing its significance in modern industry for assessing the quality of both raw materials and manufactured goods. The book introduces foundational concepts related to light, natural vision, color sensing, and optics, setting the stage for a deeper understanding of machine vision systems.
Readers will find detailed discussions on the physical apparatus necessary for mechanized image capture, including lenses, cameras, scanners, and light sources. The text also covers various image-processing methods, featuring an introduction to the QT image processing system, which is unique to this book. This system serves as a practical example of machine vision, complete with extensive libraries of commands, functions, and images for implementation. Additionally, the book explores a wide range of applications for machine vision in inspecting and handling different types of objects, making it a valuable reference for those interested in technology and engineering, particularly in the fields of artificial intelligence and automation.
Official synopsis Publisher
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.
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