Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm
Considering the tiny surface defects of Si3N4 ceramic bearing balls and the low accuracy of defect detection using a single traditional algorithm, we find that the performance of the aerospace mechanical power system is poor. A coupling algorithm based on the improved homomorphic filter and Gaussian...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2022-02-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0082702 |
| _version_ | 1818488142507802624 |
|---|---|
| author | Dahai Liao Zhihui Cui Jun Li Wenjie Li Wei Wang |
| author_facet | Dahai Liao Zhihui Cui Jun Li Wenjie Li Wei Wang |
| author_sort | Dahai Liao |
| collection | DOAJ |
| description | Considering the tiny surface defects of Si3N4 ceramic bearing balls and the low accuracy of defect detection using a single traditional algorithm, we find that the performance of the aerospace mechanical power system is poor. A coupling algorithm based on the improved homomorphic filter and Gaussian filter is proposed. The Si3N4 ceramic bearing ball nondestructive testing platform is established, by which the surface defect images of Si3N4 ceramic bearing balls are collected. The image acquisition card obtains the image information and then transmits it to the image storage module. The image processing module handles surface defect images. The gray transformation algorithm is used to complete image preprocessing. Gaussian noise in images is filtered out using the Gaussian filter algorithm. The homomorphic filtering algorithm is used to enhance the high frequency component, compress the low frequency component, and filter out the convolution noise and promiscuous signal. The contrast of the defect part has been reinforced using the coupling algorithm. It turns out that the accuracy of the coupling algorithm is 100%, 96.7%, 98.9%, and 94.4%. |
| first_indexed | 2024-12-10T16:47:18Z |
| format | Article |
| id | doaj.art-7cffa8c43b93423c91f2baf9e5c48c27 |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-12-10T16:47:18Z |
| publishDate | 2022-02-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-7cffa8c43b93423c91f2baf9e5c48c272022-12-22T01:41:01ZengAIP Publishing LLCAIP Advances2158-32262022-02-01122025325025325-1010.1063/5.0082702Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithmDahai Liao0Zhihui Cui1Jun Li2Wenjie Li3Wei Wang4School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, People’s Republic of ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, People’s Republic of ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, People’s Republic of ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, People’s Republic of ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, People’s Republic of ChinaConsidering the tiny surface defects of Si3N4 ceramic bearing balls and the low accuracy of defect detection using a single traditional algorithm, we find that the performance of the aerospace mechanical power system is poor. A coupling algorithm based on the improved homomorphic filter and Gaussian filter is proposed. The Si3N4 ceramic bearing ball nondestructive testing platform is established, by which the surface defect images of Si3N4 ceramic bearing balls are collected. The image acquisition card obtains the image information and then transmits it to the image storage module. The image processing module handles surface defect images. The gray transformation algorithm is used to complete image preprocessing. Gaussian noise in images is filtered out using the Gaussian filter algorithm. The homomorphic filtering algorithm is used to enhance the high frequency component, compress the low frequency component, and filter out the convolution noise and promiscuous signal. The contrast of the defect part has been reinforced using the coupling algorithm. It turns out that the accuracy of the coupling algorithm is 100%, 96.7%, 98.9%, and 94.4%.http://dx.doi.org/10.1063/5.0082702 |
| spellingShingle | Dahai Liao Zhihui Cui Jun Li Wenjie Li Wei Wang Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm AIP Advances |
| title | Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm |
| title_full | Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm |
| title_fullStr | Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm |
| title_full_unstemmed | Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm |
| title_short | Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm |
| title_sort | surface defect detection of si3n4 ceramic bearing ball based on improved homomorphic filter gaussian filter coupling algorithm |
| url | http://dx.doi.org/10.1063/5.0082702 |
| work_keys_str_mv | AT dahailiao surfacedefectdetectionofsi3n4ceramicbearingballbasedonimprovedhomomorphicfiltergaussianfiltercouplingalgorithm AT zhihuicui surfacedefectdetectionofsi3n4ceramicbearingballbasedonimprovedhomomorphicfiltergaussianfiltercouplingalgorithm AT junli surfacedefectdetectionofsi3n4ceramicbearingballbasedonimprovedhomomorphicfiltergaussianfiltercouplingalgorithm AT wenjieli surfacedefectdetectionofsi3n4ceramicbearingballbasedonimprovedhomomorphicfiltergaussianfiltercouplingalgorithm AT weiwang surfacedefectdetectionofsi3n4ceramicbearingballbasedonimprovedhomomorphicfiltergaussianfiltercouplingalgorithm |