Optoelectronics in machine vision-based theories and applications

Moises Rivas-Lopez (Universidad Autónoma de Baja California, Mexico), Oleg Sergiyenko (Universidad Autónoma de Baja California, Mexico), Wendy Flores-Fuentes (Universidad Autónoma de Baja California, Mexico), Julio Cesar Rodriguez-Quinonez (Universidad Autónoma de Baja California, Mexico), editors

"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"--

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Year of publication:	[2019]
Other Persons:	Rivas-Lopez, Moises (ed.) ; Sergiyenko, Oleg (ed.) ; Flores-Fuentes, Wendy (ed.) ; Rodríguez-Quiñonez, Julio Cesar (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global

Extent:	1 Online-Ressource (xxv, 433 Seiten)
Series:	Advances in computational intelligence and robotics (ACIR) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web 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 Also available in print.
ISBN:	978-1-5225-5752-4 ; 1-5225-5751-2 ; 978-1-5225-5751-7
Other identifiers:	10.4018/978-1-5225-5751-7 [DOI]
Classification:	Optoelektronik
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393252