Optoelectronics in machine vision-based theories and applications/ Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, and Julio Cesar Rodriguez-Quinonez, editors.

Sergiyenko Oleg; Flores-Fuentes Wendy; Rivas-Lopez Moises; Rodríguez-Quiñonez Julio C.,

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dc.contributor.author	Rivas-Lopez Moises
dc.contributor.author	Sergiyenko Oleg
dc.contributor.author	Flores-Fuentes Wendy
dc.contributor.author	Rodríguez-Quiñonez Julio C.,
dc.date.accessioned	2024-01-29T21:34:07Z
dc.date.available	2024-01-29T21:34:07Z
dc.date.issued	2019
dc.identifier.citation	Optoelectronics in machine vision-based theories and applications - 1 online resource (26 PDFs (xxv, 433 pages)) - URL: https://libweb.kpfu.ru/ebsco/pdf/1856898.pdf
dc.identifier.isbn	9781522557524
dc.identifier.isbn	1522557520
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/179599
dc.description	Includes bibliographical references and index.
dc.description.abstract	"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"--
dc.description.tableofcontents	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.
dc.language	English
dc.language.iso	en
dc.subject.other	Computer vision -- Industrial applications.
dc.subject.other	Optoelectronic devices.
dc.subject.other	Industrial electronics.
dc.subject.other	TECHNOLOGY & ENGINEERING / Mechanical
dc.subject.other	Computer vision -- Industrial applications.
dc.subject.other	Industrial electronics.
dc.subject.other	Optoelectronic devices.
dc.subject.other	Electronic books.
dc.title	Optoelectronics in machine vision-based theories and applications/ Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, and Julio Cesar Rodriguez-Quinonez, editors.
dc.type	Book
dc.contributor.org	IGI Global,
dc.description.pages	1 online resource (26 PDFs (xxv, 433 pages))
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C14030