Image processing of metal surface with structured light

Cong Luo; Chang Feng; Congzheng Wang

doi:10.1117/12.2069921

2 September 2014 Image processing of metal surface with structured light

Cong Luo, Chang Feng, Congzheng Wang

Proceedings Volume 9280, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes; 928019 (2014) https://doi.org/10.1117/12.2069921
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

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.

Citation Download Citation

Cong Luo, Chang Feng, and Congzheng Wang "Image processing of metal surface with structured light ", Proc. SPIE 9280, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 928019 (2 September 2014); https://doi.org/10.1117/12.2069921

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