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

Ground textures seriously interfere with the exact identification of grinding damage. The common nonde- structive testing techniques for engineering ceramics are limited by their difficulty and cost. Therefore, this paper pro- poses a global image reconstruction scheme in ground texture surface usin...

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Bibliographic Details
Published inTransactions of Tianjin University Vol. 19; no. 4; pp. 267 - 271
Main Author 林滨 陈善功 韩雪松 梁小虎
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2013
Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education, Tianjin University, Tianjin 300072, China
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Summary:Ground textures seriously interfere with the exact identification of grinding damage. The common nonde- structive testing techniques for engineering ceramics are limited by their difficulty and cost. Therefore, this paper pro- poses a global image reconstruction scheme in ground texture surface using Fourier transform (FT). The lines associ- ated 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 spec- trum image is back-transformed into the spatial domain image with inverse Fourier transform (IFT). In the recon- structed 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 experimen- tal results of damage detection for the ground texture surfaces of engineering ceramics have shown that the proposed method is effective.
Bibliography:Ground textures seriously interfere with the exact identification of grinding damage. The common nonde- structive testing techniques for engineering ceramics are limited by their difficulty and cost. Therefore, this paper pro- poses a global image reconstruction scheme in ground texture surface using Fourier transform (FT). The lines associ- ated 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 spec- trum image is back-transformed into the spatial domain image with inverse Fourier transform (IFT). In the recon- structed 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 experimen- tal results of damage detection for the ground texture surfaces of engineering ceramics have shown that the proposed method is effective.
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)
12-1248/T
engineering ceramics; damage detection; ground texture; Fourier transform
ISSN:1006-4982
1995-8196
DOI:10.1007/s12209-013-1937-4