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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Published in | Transactions of Tianjin University Vol. 19; no. 4; pp. 267 - 271 |
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Main Author | |
Format | Journal Article |
Language | English |
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 |
Subjects | |
Online Access | Get full text |
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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. |
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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 |