Chinese Journal of Lasers, Volume. 46, Issue 4, 0402007(2019)
Machine Vision-Based Real-Time Monitor System for Laser Cleaning Aluminum Alloy
Fig. 2. Images before and after median filtering. (a) Before filtering; (b) after median filtering (N is set to 3×3)
Fig. 3. Images before and after processing with delighting algorithm. (a) Before processing with delighting algorithm; (b) after processing with delighting algorithm
Fig. 4. Images after segmentation and processing with morphological method. (a) Image after Otus threshold segmentation; (b) image after processing with morphological method; (c) image after delighting
Fig. 5. Effects of edge detection. (a) Edge image; (b) connected domain search image
Fig. 6. Detection results obtained with machine vision method. (a) Unqualified sample surface; (b) detection result obtained with machine vision method(unqualified cleaning); (c) EDS analysis of unqualified sample surface; (d) qualified sample surface; (e) detection result obtained with machine vision method(qualified cleaning); (f) EDS analysis of qualified sample surface
|
|
Get Citation
Copy Citation Text
Tianyi Shi, Longzao Zhou, Chunming Wang, Gaoyang Mi, Ping Jiang. Machine Vision-Based Real-Time Monitor System for Laser Cleaning Aluminum Alloy[J]. Chinese Journal of Lasers, 2019, 46(4): 0402007
Category: laser manufacturing
Received: Nov. 26, 2018
Accepted: Jan. 8, 2019
Published Online: May. 9, 2019
The Author Email: