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Image processing of metal surface with structured light
Luo, Cong1,2; Feng, Chang1; Wang, Congzheng1
Volume9280
Pages928019
2014
Language英语
ISSN0277786X
DOI10.1117/12.2069921
Indexed ByEi
Subtype会议论文
AbstractIn 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 NameProceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes
Conference Date2014
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7667
Collection微电子装备总体研究室(四室)
Affiliation1. 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.
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