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.
- 1.Amenabar I, Lopez F, Mendikute A (2013). In introductory review to the non-destructive testing of composite mater. 34(6):152–169Google Scholar
- 4.Can W, Sheng XB, Fa HM (2015) The rapid precision evaluation of roundness based on area hunting. Manuf Autom 37(6):94–96Google Scholar
- 7.Courtney P, Böttcher P (2003) ECVision White paper on industrial applications of cognitive visionGoogle Scholar
- 8.Forsyth D, Yolken H, Matzkanin G (2006) A brief introduction to non-destructive techniques. AMMTIAC Quart 1(2):7–10Google Scholar
- 10.Hu X (2007) ARM9-based roundness embedded measurement system for daily-used ceramic. Master thesis, Jingdezhen Ceramic InstituteGoogle Scholar
- 16.Leta FR, Feliciano FF, Souza ILD, Cataldo E (2006) Discussing accuracy in an automatic measurement system using computer vision techniques. Int Congr Mech Eng 2(1):645–652Google Scholar
- 17.Momono T, Noda B (1999) Sound and vibration in rolling bearings. Motion Control 6(2):29–37Google Scholar
- 21.Xiong W, Zhan W, Dong HL (2008) China’s architectural ceramics open up countermeasures international markets. China Ceram 44(8):1001–1005Google Scholar
- 22.Xia Z, Wang X, Sun X, Liu Q, Xiong N (2014) Steganalysis of LSB matching using differences between nonadjacent pixels. Multimedia Tools and Applications 1(16):1–16Google Scholar
- 23.Li J, Li X, Yang B, Sun X (2015) Segmentation-based Image Copy-move Forgery Detection Scheme. IEEE Trans Inf Forensics Secur 10(3):507–518Google Scholar