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Automatic Inspecting System for Hidden Surface Cracks in Large Ceramic Vase Based on Machine Vision

TANG Yanni
(Heyuan Polytechnic College, Heyuan 517000, Guangdong, China)

Abstract: In order to solve the hard detection of hidden surface cracks in a large ceramic vase because of its irregular shape, an automatic inspecting system is presented in this paper. The function system and hardware structure are designed, the way that an image is captured by CMOS camera with the assistance of 3-DOF Robot and camera rotation device is studied, and the algorithms for positioning the vase-mouthcenter and identifying cracks based on circularity are tested. The experiment shows that the system can automatically capture an image and identify cracks. It lays the foundation for on-line inspection of hidden surface quality of large ceramic vases.

Key words: large ceramic vase; hidden surface; machine vision; automatic inspecting; crack identifying

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