Optoelectronics in machine vision-based theories and applications
"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 a...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global,
[2019]
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- 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.