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Automatic Damage Detection of Engineering Ceramics Ground Surface Based on Texture Analysis

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【作者】 林滨陈善功韩雪松梁小虎

【Author】 Lin Bin ,Chen Shangong ,Han Xuesong , Liang Xiaohu (Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education, Tianjin University, Tianjin 300072, China)

【机构】 Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education, Tianjin University

【摘要】 Ground textures seriously interfere with the exact identification of grinding damage. The common nondestructive testing techniques for engineering ceramics are limited by their difficulty and cost. Therefore, this paper proposes a global image reconstruction scheme in ground texture surface using Fourier transform (FT). The lines associated with high-energy frequency components in the spectrum that represent ground texture information can be detected by Hough transform (HT), and the corresponding high-energy frequency components are set to zero. Then the spectrum image is back-transformed into the spatial domain image with inverse Fourier transform (IFT). In the reconstructed image, the main ground texture information has been removed, whereas the surface defects information is preserved. Finally, Canny edge detection is used to extract damage image in the reconstructed image. The experimental results of damage detection for the ground texture surfaces of engineering ceramics have shown that the proposed method is effective.

【Abstract】 Ground textures seriously interfere with the exact identification of grinding damage. The common nondestructive testing techniques for engineering ceramics are limited by their difficulty and cost. Therefore, this paper proposes a global image reconstruction scheme in ground texture surface using Fourier transform (FT). The lines associated with high-energy frequency components in the spectrum that represent ground texture information can be detected by Hough transform (HT), and the corresponding high-energy frequency components are set to zero. Then the spectrum image is back-transformed into the spatial domain image with inverse Fourier transform (IFT). In the reconstructed image, the main ground texture information has been removed, whereas the surface defects information is preserved. Finally, Canny edge detection is used to extract damage image in the reconstructed image. The experimental results of damage detection for the ground texture surfaces of engineering ceramics have shown that the proposed method is effective.

【基金】 Supported by National Natural Science Foundation of China (No. 51075296)
  • 【文献出处】 Transactions of Tianjin University ,天津大学学报(英文版) , 编辑部邮箱 ,2013年04期
  • 【分类号】TQ174.6
  • 【被引频次】4
  • 【下载频次】44
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