Chinese Journal of Lasers, Volume. 46, Issue 4, 0404007(2019)
Surface Defect Detection of Optical Components Based on Sparse Matrix
Fig. 6. Images after filtering. (a) Original image; (b) mean filtering; (c) median filtering; (d) Wiener filtering; (e) Gaussian filtering
Fig. 7. Preprocessed images. (a) Binary image; (b) morphologically processed image
Fig. 8. Mosaic images. (a) Translation mosaic image; (b) sparse matrix mosaic image
Fig. 10. Sub-aperture defect images of optical element. (a) Image No. 1; (b) image No. 2
Fig. 11. Sub-aperture images of processed optical elements. (a) Image No. 1; (b) image No. 2
Fig. 12. Mosaic image and defect recognition images. (a) Sparse matrix mosaic image; (b) defect recognition image
|
|
|
Get Citation
Copy Citation Text
Chen Chen, Hongjun Wang, Dasen Wang, Ailing Tian, Bingcai Liu, Xueliang Zhu, Weiguo Liu. Surface Defect Detection of Optical Components Based on Sparse Matrix[J]. Chinese Journal of Lasers, 2019, 46(4): 0404007
Category: measurement and metrology
Received: Dec. 4, 2018
Accepted: Jan. 4, 2019
Published Online: May. 9, 2019
The Author Email: