Automatic damage detection of engineering ceramics ground surface based on texture analysis
Automatic damage detection of engineering ceramics ground surface based on texture analysis
复制标题
基于织构分析的工程陶瓷磨削表面损伤自动检测
DOI：
10.1007/s12209-013-1937-4
复制
发表时间：
2013-08
影响因子：
7.1
通讯作者：
梁小虎
中科院分区：
文献类型：
--
作者：
林滨;陈善功;韩雪松;梁小虎
地面纹理严重影响磨削损伤的准确识别。常用的工程陶瓷无损检测技术受其难度和成本的限制。为此，本文提出了一种基于傅里叶变换（FT）的地面纹理表面全局图像重建方案。通过霍夫变换（Hough transform， HT）检测到谱中代表地面纹理信息的高能频率分量所对应的谱线，并将对应的高能频率分量置零。然后用傅里叶反变换（IFT）将光谱图像反变换为空间域图像。在重建图像中，主要的地面纹理信息被去除，而表面缺陷信息被保留。最后，利用Canny边缘检测提取重构图像中的损伤图像。工程陶瓷地面织构表面的损伤检测实验结果表明，该方法是有效的。
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.
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DOI：
10.1109/ias.1999.805975
发表时间：
1999-10
期刊：
Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370)
影响因子：
--
作者：
Chi-Ho Chan;G. Pang
通讯作者：
Chi-Ho Chan;G. Pang
影响因子：
6.9
作者：
Wei-Chen Li;D. Tsai
通讯作者：
Wei-Chen Li;D. Tsai
DOI：
10.1520/stp18990s
发表时间：
2021
期刊：
--
影响因子：
--
作者：
JA Joyce;DA Davis;E. Hackett;RA Hays
通讯作者：
JA Joyce;DA Davis;E. Hackett;RA Hays
影响因子：
6.3
作者：
Zhang, B;Zheng, XL;Yoshikawa, M
通讯作者：
Yoshikawa, M
影响因子：
8
作者：
Jain, AK;Ratha, NK;Lakshmanan, S
通讯作者：
Lakshmanan, S