國立虎尾科技大學 |

Integrated imaging and vision techniques for industrial inspection = advances and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Integrated imaging and vision techniques for industrial inspection/ edited by Zheng Liu ... [et al.].
Reminder of title:	advances and applications /
other author:	Liu, Zheng.
Published:	London :Imprint: Springer, : 2015.,
Description:	x, 541 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Pattern Recognition. -
Online resource:	http://dx.doi.org/10.1007/978-1-4471-6741-9
ISBN:	9781447167419

Integrated imaging and vision techniques for industrial inspection = advances and applications /
Integrated imaging and vision techniques for industrial inspectionadvances and applications /[electronic resource] :edited by Zheng Liu ... [et al.]. - London :Imprint: Springer,2015. - x, 541 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

Industrial Inspection with Open Eyes -- Part I: Advances in Technology -- Infrared Vision -- Inspection Methods for Metal Surfaces -- FlexWarp, a Fast and Flexible Method for High-Precision Image Registration -- How Optical CMMs and 3D Scanning will Revolutionize the 3D Metrology World -- Fast Three-Dimensional Shape Inspection Using a Multi-Sided Mirror -- Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System -- X-Ray Computed Tomography for Non-Destructive Testing and Materials Characterization -- Defect Inspection for Curved Surfaces with a Highly Specular Reflection -- Part II: Applications and System Integration for Vision-Based Inspection -- Robotic Inspection Systems -- Machine Vision Techniques for Condition Assessment of Civil Infrastructure -- Smart Check 3D -- Ultrasonic Evaluation and Imaging -- Non-Destructive Visualization Using Electromagnetic Waves for Real and Practical Sensing Technology for Robotics -- Magneto-Optic Imaging and its Applications.

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features: Presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection Includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs Discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks Provides a focus on imaging and vision system integration, implementation, and optimization Describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process Bridging the gap between theoretical knowledge and engineering practice, this indispensable book will appeal to graduate students interested in imaging, machine vision, and industrial inspection. The work also serves as an excellent reference for researchers seeking to develop innovative solutions to tackle practical challenges, and for professional engineers who will benefit from the coverage of applications at both system and component level.

ISBN: 9781447167419

Standard No.: 10.1007/978-1-4471-6741-9doiSubjects--Topical Terms:

669796
Pattern Recognition.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Integrated imaging and vision techniques for industrial inspection = advances and applications /
LDR:03620nam a2200349 a 4500 001 838138
003 DE-He213
005 20160421111740.0
006 m d
007 cr nn 008maaau
008 160616s2015 enk s 0 eng d
020 $a 9781447167419 $q (electronic bk.)
020 $a 9781447167402 $q (paper)
024 7 $a 10.1007/978-1-4471-6741-9 $2 doi
035 $a 978-1-4471-6741-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYT $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .I61 2015
245 0 0 $a Integrated imaging and vision techniques for industrial inspection $h [electronic resource] : $b advances and applications / $c edited by Zheng Liu ... [et al.].
260 $a London : $c 2015. $b Imprint: Springer, $b Springer London :
300 $a x, 541 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a Industrial Inspection with Open Eyes -- Part I: Advances in Technology -- Infrared Vision -- Inspection Methods for Metal Surfaces -- FlexWarp, a Fast and Flexible Method for High-Precision Image Registration -- How Optical CMMs and 3D Scanning will Revolutionize the 3D Metrology World -- Fast Three-Dimensional Shape Inspection Using a Multi-Sided Mirror -- Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System -- X-Ray Computed Tomography for Non-Destructive Testing and Materials Characterization -- Defect Inspection for Curved Surfaces with a Highly Specular Reflection -- Part II: Applications and System Integration for Vision-Based Inspection -- Robotic Inspection Systems -- Machine Vision Techniques for Condition Assessment of Civil Infrastructure -- Smart Check 3D -- Ultrasonic Evaluation and Imaging -- Non-Destructive Visualization Using Electromagnetic Waves for Real and Practical Sensing Technology for Robotics -- Magneto-Optic Imaging and its Applications.
520 $a This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features: Presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection Includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs Discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks Provides a focus on imaging and vision system integration, implementation, and optimization Describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process Bridging the gap between theoretical knowledge and engineering practice, this indispensable book will appeal to graduate students interested in imaging, machine vision, and industrial inspection. The work also serves as an excellent reference for researchers seeking to develop innovative solutions to tackle practical challenges, and for professional engineers who will benefit from the coverage of applications at both system and component level.
650 2 4 $a Pattern Recognition. $3 669796
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 1 4 $a Computer Science. $3 593922
650 0 $a Engineering inspection. $3 966001
650 0 $a Computer vision $x Industrial applications. $3 596580
700 1 $a Liu, Zheng. $3 1069123
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Advances in computer vision and pattern recognition. $3 886855
856 4 0 $u http://dx.doi.org/10.1007/978-1-4471-6741-9
950 $a Computer Science (Springer-11645)