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Optoelectronics in machine vision-ba...

Flores-Fuentes, Wendy, (1978-)

Optoelectronics in machine vision-based theories and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optoelectronics in machine vision-based theories and applicationsMoises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, and Julio Cesar Rodriguez-Quinonez, editors.
other author:	Rivas-Lopez, Moises,
Published:	Hershey, Pennsylvania :IGI Global,[2019]
Description:	1 online resource (xxv, 433 p.)
Subject:	Computer visionIndustrial applications.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5751-7
ISBN:	9781522557524 (e-book)

Optoelectronics in machine vision-based theories and applications
Optoelectronics in machine vision-based theories and applications[electronic resource] /Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, and Julio Cesar Rodriguez-Quinonez, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxv, 433 p.)

Includes bibliographical references and index.

Section 1. Optical detectors for selected applications. Chapter 1. Zeolite-based optical detectors ; Chapter 2. Analog circuit of light detector for CMOS image sensor ; Chapter 3. Optoelectronic differential cloudy triangulation method for measuring geometry of hot moving objects ; Chapter 4. Surface measurement techniques in machine vision: operation, applications, and trends -- Section 2. Machine vision for modeling the human approach. Chapter 5. Leveraging models of human reasoning to identify EEG electrodes in images with neural networks ; Chapter 6. Object-oriented logic programming of intelligent visual surveillance for human anomalous behavior detection ; Chapter 7. Moving object classification under illumination changes using binary descriptors ; Chapter 8. Machine vision application on science and industry: machine vision trends -- Section 3. Machine vision for structural health monitoring. Chapter 9. Application of computer vision technology to structural health monitoring of engineering structures ; Chapter 10. Machine vision-based application to structural analysis in seismic testing by shaking table ; Chapter 11. Methods to reduce the optical noise in a real-world environment of an optical scanning system for structural health monitoring -- Section 4. Technical vision for avoiding obstacles and autonomous navigation. Chapter 12. Mobile robot path planning using continuous laser scanning ; Chapter 13. Methods and algorithms for technical vision in radar introscopy.

Restricted to subscribers or individual electronic text purchasers.

"This book focuses on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms, agriculture applications and other vision systems. It covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring"--Provided by publisher.

ISBN: 9781522557524 (e-book)Subjects--Topical Terms:

203555
Computer vision
--Industrial applications.

LC Class. No.: TA1634 / .O687 2019e

Dewey Class. No.: 621.39/93

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245 0 0 $a Optoelectronics in machine vision-based theories and applications $h [electronic resource] / $c Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, and Julio Cesar Rodriguez-Quinonez, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2019]
300 $a 1 online resource (xxv, 433 p.)
504 $a Includes bibliographical references and index.
505 0 $a Section 1. Optical detectors for selected applications. Chapter 1. Zeolite-based optical detectors ; Chapter 2. Analog circuit of light detector for CMOS image sensor ; Chapter 3. Optoelectronic differential cloudy triangulation method for measuring geometry of hot moving objects ; Chapter 4. Surface measurement techniques in machine vision: operation, applications, and trends -- Section 2. Machine vision for modeling the human approach. Chapter 5. Leveraging models of human reasoning to identify EEG electrodes in images with neural networks ; Chapter 6. Object-oriented logic programming of intelligent visual surveillance for human anomalous behavior detection ; Chapter 7. Moving object classification under illumination changes using binary descriptors ; Chapter 8. Machine vision application on science and industry: machine vision trends -- Section 3. Machine vision for structural health monitoring. Chapter 9. Application of computer vision technology to structural health monitoring of engineering structures ; Chapter 10. Machine vision-based application to structural analysis in seismic testing by shaking table ; Chapter 11. Methods to reduce the optical noise in a real-world environment of an optical scanning system for structural health monitoring -- Section 4. Technical vision for avoiding obstacles and autonomous navigation. Chapter 12. Mobile robot path planning using continuous laser scanning ; Chapter 13. Methods and algorithms for technical vision in radar introscopy.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book focuses on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms, agriculture applications and other vision systems. It covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring"--Provided by publisher.
650 0 $a Computer vision $x Industrial applications. $3 203555
650 0 $a Optoelectronic devices. $3 181962
650 0 $a Industrial electronics. $3 181949
700 1 $a Rivas-Lopez, Moises, $d 1960- $e editor. $3 843787
700 1 $a Sergiyenko, Oleg, $d 1969- $e editor. $3 777735
700 1 $a Flores-Fuentes, Wendy, $d 1978- $e editor. $3 843788
700 1 $a Rodríguez-Quiñonez, Julio C., $d 1985- $e editor. $3 843789
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5751-7