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15 November 2022 Research on the background segmentation method of spot image sequence
Yilun Cheng, Fengfu Tan, Feng He, Laian Qin, Zhigang Huang, Zaihong Hou
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Proceedings Volume 12448, 5th Optics Young Scientist Summit (OYSS 2022); 124480L (2022) https://doi.org/10.1117/12.2636939
Event: 5th Optics Young Scientist Summit (OYSS 2022), 2022, Fuzhou, China
Abstract
When the camera imaging method and the detector array method are used to obtain the laser spot image after atmospheric transmission, the image sequence will contain the actual spot image information and the background information of the test system. During the data processing, the image sequence needs to be segmented to eliminate Image background information firstly. Considering that the brightness, contrast, and structure of the images collected by the system will change significantly before and after the laser irradiation measurement system, a method of image structure similarity is proposed to segment the background information of the image sequence. The method of dynamic template is used to calculate the similarity of the light spot sequence, and the similarity threshold is set to complete the segmentation and elimination of the background information of the image. Experiments show that the background segmentation method of image sequence based on structural similarity can quickly and accurately achieve segmentation of background information. The research results can provide a certain theoretical basis and method accumulation for establishing a perfect data processing method in the laser parameter measurement system.
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Yilun Cheng, Fengfu Tan, Feng He, Laian Qin, Zhigang Huang, and Zaihong Hou "Research on the background segmentation method of spot image sequence", Proc. SPIE 12448, 5th Optics Young Scientist Summit (OYSS 2022), 124480L (15 November 2022); https://doi.org/10.1117/12.2636939
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KEYWORDS
Image segmentation
Image processing
Laser systems engineering
Data processing
Image processing algorithms and systems
Image acquisition
Laser processing
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