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Integrated Imaging and Vision Techniques for Industrial Inspection

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Cover of 'Integrated Imaging and Vision Techniques for Industrial Inspection'

Table of Contents

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    Book Overview
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    Chapter 1 Industrial Inspection with Open Eyes: Advance with Machine Vision Technology
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    Chapter 2 Infrared Vision: Visual Inspection Beyond the Visible Spectrum
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    Chapter 3 Inspection Methods for Metal Surfaces: Image Acquisition and Algorithms for the Characterization of Defects
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    Chapter 4 FlexWarp, a Fast and Flexible Method for High-Precision Image Registration: A Nonparametric Approach for Precise Image Registration Applied to Industrial Print Inspection
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    Chapter 5 How Optical CMMs and 3D Scanning Will Revolutionize the 3D Metrology World
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    Chapter 6 Fast Three-Dimensional Shape Inspection Using a Multi-sided Mirror
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    Chapter 7 Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System
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    Chapter 8 X-ray Computed Tomography for Non-destructive Testing and Materials Characterization
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    Chapter 9 Defect Inspection for Curved Surface with Highly Specular Reflection
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    Chapter 10 Robotic Inspection Systems
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    Chapter 11 Machine Vision Techniques for Condition Assessment of Civil Infrastructure
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    Chapter 12 Smart Check 3D: An Industrial Inspection System Combining 3D Vision with Automatic Planning of Inspection Viewpoints
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    Chapter 13 Ultrasonic Evaluation and Imaging
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    Chapter 14 Nondestructive Visualization Using Electromagnetic Waves for Real and Practical Sensing Technology for Robotics
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    Chapter 15 Principles of Magneto-optic Imaging and Its Applications
Attention for Chapter 11: Machine Vision Techniques for Condition Assessment of Civil Infrastructure
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Chapter title
Machine Vision Techniques for Condition Assessment of Civil Infrastructure
Chapter number 11
Book title
Integrated Imaging and Vision Techniques for Industrial Inspection
Published by
Springer London, January 2015
DOI 10.1007/978-1-4471-6741-9_11
Book ISBNs
978-1-4471-6740-2, 978-1-4471-6741-9, 978-1-4471-6740-2, 978-1-4471-6741-9
Authors

Christian Koch, Zhenhua Zhu, Stephanie German Paal, Ioannis Brilakis, Koch, Christian, Zhu, Zhenhua, German Paal, Stephanie, Brilakis, Ioannis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Student > Doctoral Student 3 14%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Professor 2 10%
Other 5 24%
Unknown 3 14%
Readers by discipline Count As %
Engineering 16 76%
Business, Management and Accounting 1 5%
Unspecified 1 5%
Unknown 3 14%