Xin Chen1, Ying Zhang2, Lang Lin1, Junxiang Wang2,*, Jiangqun Ni3
Computer Systems Science and Engineering, Vol.36, No.3, pp. 551-564, 2021, DOI:10.32604/csse.2021.014495
Abstract Nowadays the computer vision technique has widely found applications in industrial manufacturing process to improve their efficiency. However, it is hardly applied in the field of daily ceramic detection due to the following two key reasons: (1) Low detection accuracy as a result of ceramic glare, and (2) Lack of efficient detection algorithms. To tackle these problems, a homomorphic filtering based anti-glare ceramic decals defect detection technique is proposed in this paper. Considering that smooth ceramic surface usually causes glare effects and leads to low detection results, in our approach, the ceramic samples are taken in low light environment and… More >
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