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A new computer vision based multi-indentation inspection system for ceramics

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Abstract

Ceramic has been one of most important daily used items since ancient ages. As the worldwide ceramic production grows, the quality evaluation for ceramics comes into a critical task for silicate industry. Automatic evaluation of ceramic shape has the potential to improve the ceramic product quality and production efficiency. This paper proposes an online automatic inspection system and a new algorithm for defect detection and feature analysis based on computer vision technology. The hardware module of the proposed system is designed to transport ceramic products in a suitable speed, acquire images of products, and perform intelligent control. The software module of the systems detects ceramic outline and evaluates the size of defects from the acquired product images. Experimental results show the efficiency and accuracy of the proposed system.

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Acknowledgments

This work is supported by the National Science Foundation of China (61402209, 61100170, 61164014 and 61563022), Invention Patent Industrialization Demonstration Project of Jiangxi Province (20143BBM26113) and the CICAEET fund and the PAPD fund.

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Authors and Affiliations

  1. School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jiangxi, 333403, China

    Junxiang Wang, Ying Liu, Huacang Peng & Yonghong Zhu

  2. School of computer and software, Nanjing University of Information Science & Technology, Nanjing, 210000, China

    Junxiang Wang

  3. School of Information Science and Technology, Sun Yat-sen University, Guangdong, 510006, China

    Dong Zhang

Authors
  1. Junxiang Wang
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  2. Ying Liu
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  3. Dong Zhang
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  4. Huacang Peng
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  5. Yonghong Zhu
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Correspondence to Junxiang Wang.

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Wang, J., Liu, Y., Zhang, D. et al. A new computer vision based multi-indentation inspection system for ceramics. Multimed Tools Appl 76, 2495–2513 (2017). https://doi.org/10.1007/s11042-015-3223-z

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  • DOI: https://doi.org/10.1007/s11042-015-3223-z

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