A Machine Vision-Based Heating Control Design for the Microwave Maintenance Vehicle

Abstract:

Traditionally, human vision is applied to locating the region of the asphalt pavement defects. This will bring large variations for heating control of the microwave maintenance vehicle due to a shortage of the accurate control data. In this paper, a novel machine vision-based method was proposed to produce the control data precisely for the heating control. First, a scheme of the microwave heating control system based on machine vision was proposed for the microwave maintenance vehicle. Then, for the image distortion caused by the lens, the cubic polynomial warping algorithm and the reprojection transformation method were used to rectify it. Third, from the rectified image, the automatic and the manual method extracting control data were put forward. Last, matching with the obtained control data, a circuit design was demonstrated. Product testing proves that the proposed machine vision-based method is not only prompt and accurate in locating asphalt defects, but also quite effective in energy saving.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 1365-1372
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.1365
• Online since: January 2013
• Authors: Lei Zhang, Kai Teng, Li Juan Yang, Wen Jin Wu, Lu Fang Qin
• Keywords: Distortion Rectification, Machine Vision, Magnetrons, Region Growing

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