Efficient Anti-Glare Ceramic Decals Defect Detection by Incorporating Homomorphic Filtering |
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Authors: | Xin Chen Ying Zhang Lang Lin Junxiang Wang Jiangqun Ni |
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Affiliation: | 1 Southeast Digital Economic Development Institute, Quzhou, 324000, China2 School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, 333400, China3 School of Data and Computer Science, Sun Yat-Sen University, Canton, 510000, China |
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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 their luminance and details restored by a homomorphic filtering based image enhancement technique. With relatively high quality preprocessed images, an effective ceramic decal defect detection algorithm is then designed to rapidly locate those out-of-bounds defects and further estimate their size. The experimental results show that the proposed scheme could achieve its desired performance. |
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Keywords: | Ceramic glaring homomorphic filtering ceramic decal border extraction out-of-bounds detection |
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