Machine Vision Handbook

Bruce G. Batchelor

ISBN 10: 1849961689 / ISBN 13: 9781849961684

Published by Springer, Springer London, 2012

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781849961684

Bibliographic Details

• Title: Machine Vision Handbook
• Publisher: Springer, Springer London
• Publication Date: 2012
• Language: English
• ISBN 10: 1849961689
• ISBN 13: 9781849961684
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 141D millimeters 241 millimeters width by 160 millimeters height by 141 millimeters depth
• Weight: 3949 grams

About this title

Synopsis

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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