A new computer vision based multi-indentation inspection system for ceramics
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.
KeywordsIndentation defect Ceramic roundness Multi-indentation detection Computer vision
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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