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Examining optoelectronics in machine...
~
Sergiyenko, Oleg, (1969-)
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Examining optoelectronics in machine vision and applications in industry 4.0
Record Type:
Electronic resources : Monograph/item
Title/Author:
Examining optoelectronics in machine vision and applications in industry 4.0/ Oleg Sergiyenko, Julio C. Rodriguez-Quinonez, and Wendy Flores-Fuentes, editor.
other author:
Sergiyenko, Oleg,
Published:
Hershey, Pennsylvania :IGI Global, : 2021.,
Description:
1 online resource (346 pages)
[NT 15003449]:
Chapter 1. Optoelectronic devices fusion in machine vision applications -- Chapter 2. Advances in laser scanners -- Chapter 3. Methods of reception and signal processing in machine vision systems -- Chapter 4. Reducing the optical noise of machine vision optical scanners for landslide monitoring -- Chapter 5. Statistical characteristics of optical signals and images in machine vision systems -- Chapter 6. Informational model of optical signals and images in machine vision systems -- Chapter 7. Indoor navigation aid systems for the blind and visually impaired based on depth sensors -- Chapter 8. Detection of landmarks by mobile autonomous robots based on estimating the color parameters of the surrounding area -- Chapter 9. Recognition system by using machine vision tools and machine learning techniques for mobile robots -- Chapter 10. Technical vision model of the visual systems for industry application.
Subject:
Computer vision - Industrial applications. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-6522-3
ISBN:
9781799865247 (ebk.)
Examining optoelectronics in machine vision and applications in industry 4.0
Examining optoelectronics in machine vision and applications in industry 4.0
[electronic resource] /Oleg Sergiyenko, Julio C. Rodriguez-Quinonez, and Wendy Flores-Fuentes, editor. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (346 pages)
Includes bibliographical references and index.
Chapter 1. Optoelectronic devices fusion in machine vision applications -- Chapter 2. Advances in laser scanners -- Chapter 3. Methods of reception and signal processing in machine vision systems -- Chapter 4. Reducing the optical noise of machine vision optical scanners for landslide monitoring -- Chapter 5. Statistical characteristics of optical signals and images in machine vision systems -- Chapter 6. Informational model of optical signals and images in machine vision systems -- Chapter 7. Indoor navigation aid systems for the blind and visually impaired based on depth sensors -- Chapter 8. Detection of landmarks by mobile autonomous robots based on estimating the color parameters of the surrounding area -- Chapter 9. Recognition system by using machine vision tools and machine learning techniques for mobile robots -- Chapter 10. Technical vision model of the visual systems for industry application.
"This book focuses on the examination of emerging technologies for the design, fabrication and implementation of optoelectronic sensors, devices and systems using a machine vision approach to support industrial, commercial and scientific applications"--
ISBN: 9781799865247 (ebk.)Subjects--Topical Terms:
1567873
Computer vision
--Industrial applications.
LC Class. No.: TA1634 / .E93 2021
Dewey Class. No.: 006.3/7
Examining optoelectronics in machine vision and applications in industry 4.0
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Oleg Sergiyenko, Julio C. Rodriguez-Quinonez, and Wendy Flores-Fuentes, editor.
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Hershey, Pennsylvania :
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IGI Global,
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1 online resource (346 pages)
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Includes bibliographical references and index.
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Chapter 1. Optoelectronic devices fusion in machine vision applications -- Chapter 2. Advances in laser scanners -- Chapter 3. Methods of reception and signal processing in machine vision systems -- Chapter 4. Reducing the optical noise of machine vision optical scanners for landslide monitoring -- Chapter 5. Statistical characteristics of optical signals and images in machine vision systems -- Chapter 6. Informational model of optical signals and images in machine vision systems -- Chapter 7. Indoor navigation aid systems for the blind and visually impaired based on depth sensors -- Chapter 8. Detection of landmarks by mobile autonomous robots based on estimating the color parameters of the surrounding area -- Chapter 9. Recognition system by using machine vision tools and machine learning techniques for mobile robots -- Chapter 10. Technical vision model of the visual systems for industry application.
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Rodríguez-Quiñonez, Julio C.,
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-6522-3
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EB TA1634 .E93 2021
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