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Open AccessArticle

Smooth Surface Visual Imaging Method for Eliminating High Reflection Disturbance

1
Faculty of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, Shanxi, China
2
School of Mechanical and Electrical Engineering, Xi’an Polytechnic University, Xi’an 710048, Shanxi, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(22), 4953; https://doi.org/10.3390/s19224953
Received: 22 October 2019 / Revised: 11 November 2019 / Accepted: 12 November 2019 / Published: 14 November 2019
(This article belongs to the Special Issue Integrated Photonics for Novel Sensing and Measurement Applications)
At present, visual imaging is widely applied for surface defects such as bumps and scratches in the manufacture of precise parts with a highly reflective surface. However, the high light reflection and halo disturbance as a result of the illumination in visual imaging exert a direct influence on the accuracy of defect detection. In this regard, the present paper develops an adaptive illumination method based on space–time modulation for a visual imaging system. Furthermore, a digital micro-mirror device (DMD) is employed to realize the pixel-level spatiotemporal modulation of illumination. Then, in combination with the illumination intensity feedback of charge coupled device (CCD), the time-space ratio is adjusted automatically to achieve adaptive uniform illumination and effectively suppress the high light reflection and halo disturbance of highly reflective surfaces. The experimental results show that, in terms of restraining high light disturbance, the visibility and accuracy of visual imaging are improved. View Full-Text
Keywords: visual imaging; pixel-level spatiotemporal modulation; time-space ratio; feedback of CCD visual imaging; pixel-level spatiotemporal modulation; time-space ratio; feedback of CCD
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MDPI and ACS Style

Shao, W.; Liu, K.; Shao, Y.; Zhou, A. Smooth Surface Visual Imaging Method for Eliminating High Reflection Disturbance. Sensors 2019, 19, 4953. https://doi.org/10.3390/s19224953

AMA Style

Shao W, Liu K, Shao Y, Zhou A. Smooth Surface Visual Imaging Method for Eliminating High Reflection Disturbance. Sensors. 2019; 19(22):4953. https://doi.org/10.3390/s19224953

Chicago/Turabian Style

Shao, Wei; Liu, Kaibin; Shao, Yunqiu; Zhou, Awei. 2019. "Smooth Surface Visual Imaging Method for Eliminating High Reflection Disturbance" Sensors 19, no. 22: 4953. https://doi.org/10.3390/s19224953

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