國立虎尾科技大學 |

Integrated Imaging and Vision Techniques for Industrial Inspection = Advances and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Integrated Imaging and Vision Techniques for Industrial Inspection/ edited by Zheng Liu, Hiroyuki Ukida, Pradeep Ramuhalli, Kurt Niel.
其他題名:	Advances and Applications /
其他作者:	Liu, Zheng.
面頁冊數:	X, 541 p. 407 illus., 13 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Optical data processing. -
電子資源:	https://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, Hiroyuki Ukida, Pradeep Ramuhalli, Kurt Niel. - 1st ed. 2015. - X, 541 p. 407 illus., 13 illus. in color.online resource. - 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:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Integrated Imaging and Vision Techniques for Industrial Inspection = Advances and Applications /
LDR:04053nam a22004335i 4500 001 961585
003 DE-He213
005 20200703161100.0
007 cr nn 008mamaa
008 201211s2015 xxk| s |||| 0|eng d
020 $a 9781447167419 $9 978-1-4471-6741-9
024 7 $a 10.1007/978-1-4471-6741-9 $2 doi
035 $a 978-1-4471-6741-9
050 4 $a TA1630-1650
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
082 0 4 $a 006.37 $2 23
245 1 0 $a Integrated Imaging and Vision Techniques for Industrial Inspection $h [electronic resource] : $b Advances and Applications / $c edited by Zheng Liu, Hiroyuki Ukida, Pradeep Ramuhalli, Kurt Niel.
250 $a 1st ed. 2015.
264 1 $a London : $b Springer London : $b Imprint: Springer, $c 2015.
300 $a X, 541 p. 407 illus., 13 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 0 $a Optical data processing. $3 639187
650 0 $a Pattern recognition. $3 1253525
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Pattern Recognition. $3 669796
700 1 $a Liu, Zheng. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1069123
700 1 $a Ukida, Hiroyuki. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1256099
700 1 $a Ramuhalli, Pradeep. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1256100
700 1 $a Niel, Kurt. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1256101
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781447167402
776 0 8 $i Printed edition: $z 9781447167426
776 0 8 $i Printed edition: $z 9781447169802
830 0 $a Advances in Computer Vision and Pattern Recognition, $x 2191-6586 $3 1256102
856 4 0 $u https://doi.org/10.1007/978-1-4471-6741-9
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)