| Image processing of metal surface with structured light | |
| Luo, Cong1,2; Feng, Chang1; Wang, Congzheng1 | |
| Volume | 9280 |
| Pages | 928019 |
| 2014 | |
| Language | 英语 |
| ISSN | 0277786X |
| DOI | 10.1117/12.2069921 |
| Indexed By | Ei |
| Subtype | 会议论文 |
| Abstract | In structured light vision measurement system, the ideal image of structured light strip, in addition to black background, contains only the gray information of the position of the stripe. However, the actual image contains image noise, complex background and so on, which does not belong to the stripe, and it will cause interference to useful information. To extract the stripe center of mental surface accurately, a new processing method was presented. Through adaptive median filtering, the noise can be preliminary removed, and the noise which introduced by CCD camera and measured environment can be further removed with difference image method. To highlight fine details and enhance the blurred regions between the stripe and noise, the sharping algorithm is used which combine the best features of Laplacian operator and Sobel operator. Morphological opening operation and closing operation are used to compensate the loss of information. Experimental results show that this method is effective in the image processing, not only to restrain the information but also heighten contrast. It is beneficial for the following processing. © 2014 SPIE.; In structured light vision measurement system, the ideal image of structured light strip, in addition to black background, contains only the gray information of the position of the stripe. However, the actual image contains image noise, complex background and so on, which does not belong to the stripe, and it will cause interference to useful information. To extract the stripe center of mental surface accurately, a new processing method was presented. Through adaptive median filtering, the noise can be preliminary removed, and the noise which introduced by CCD camera and measured environment can be further removed with difference image method. To highlight fine details and enhance the blurred regions between the stripe and noise, the sharping algorithm is used which combine the best features of Laplacian operator and Sobel operator. Morphological opening operation and closing operation are used to compensate the loss of information. Experimental results show that this method is effective in the image processing, not only to restrain the information but also heighten contrast. It is beneficial for the following processing. © 2014 SPIE. |
| Conference Name | Proceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes |
| Conference Date | 2014 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/7667 |
| Collection | 微电子装备总体研究室（四室） |
| Affiliation | 1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China 2. University of Chinese Academy of Sciences, Beijing, China |
| Recommended Citation GB/T 7714 | Luo, Cong,Feng, Chang,Wang, Congzheng. Image processing of metal surface with structured light[C],2014:928019. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2014-2111.pdf（351KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
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