Optoelectronics in machine vision-ba...
Rivas-Lopez, Moises, (1960-)

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  • Optoelectronics in machine vision-based theories and applications
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Optoelectronics in machine vision-based theories and applications/ Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, and Julio Cesar Rodriguez-Quinonez, editors.
    其他作者: Rivas-Lopez, Moises,
    出版者: Hershey, Pennsylvania :IGI Global, : [2019],
    面頁冊數: 1 online resource (xxv, 433 p.)
    內容註: 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.
    標題: Computer vision - Industrial applications. -
    電子資源: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5751-7
    ISBN: 9781522557524 (e-book)
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