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Reducing the Optical Noise of Machine Vision Optical Scanners for Landslide Monitoring
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Author(s): Jesús Elias Miranda-Vega (Autonomous University of Baja California, Mexico), Javier Rivera-Castillo (Engineering Institute, Autonomous University of Baja California, Mexico), Moisés Rivas-López (Engineering Institute, Autonomous University of Baja California, Mexico), Wendy Flores-Fuentes (Faculty of Engineering, Autonomous University of Baja California, Mexico), Oleg Sergiyenko (Engineering Institute, Autonomous University of Baja California, Mexico), Julio C. Rodríguez-Quiñonez (Faculty of Engineering, Autonomous University of Baja California, Mexico)and Daniel Hernández-Balbuena (Faculty of Engineering, Autonomous University of Baja California, Mexico)
Copyright: 2021
Pages: 31
Source title:
Examining Optoelectronics in Machine Vision and Applications in Industry 4.0
Source Author(s)/Editor(s): Oleg Sergiyenko (Autonomous University of Baja California, Mexico), Julio C. Rodriguez-Quiñonez (Autonomous University of Baja California, Mexico)and Wendy Flores-Fuentes (Autonomous University of Baja California, Mexico)
DOI: 10.4018/978-1-7998-6522-3.ch004
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Abstract
An application of landslide monitoring using optical scanner as vision system is presented. The method involves finding the position of non-coherent light sources located at strategic points susceptible to landslides. The position of the light source is monitored by measuring its coordinates using a scanner based on a 45° sloping surface cylindrical mirror. This chapter shows experiments of position light source monitoring in laboratory environment. This work also provides improvements for the optical scanner by using digital filter to smooth the opto-electronic signal captured from a real environment. The results of these experiments were satisfactory by implementing the moving average filter and median filter.
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