21 August 2014 Light-leaking region segmentation of FOG fiber based on quality evaluation of infrared image
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Proceedings Volume 9233, International Symposium on Photonics and Optoelectronics 2014; 923308 (2014) https://doi.org/10.1117/12.2067210
Event: International Symposium on Photonics and Optoelectronics (SOPO 2014), 2014, Suzhou, China
Abstract
To improve the assembly reliability of Fiber Optic Gyroscope (FOG), a light leakage detection system and method is developed. First, an agile movement control platform is designed to implement the pose control of FOG optical path component in 6 Degrees of Freedom (DOF). Second, an infrared camera is employed to capture the working state images of corresponding fibers in optical path component after the manual assembly of FOG; therefore the entire light transmission process of key sections in light-path can be recorded. Third, an image quality evaluation based region segmentation method is developed for the light leakage images. In contrast to the traditional methods, the image quality metrics, including the region contrast, the edge blur, and the image noise level, are firstly considered to distinguish the image characters of infrared image; then the robust segmentation algorithms, including graph cut and flood fill, are all developed for region segmentation according to the specific image quality. Finally, after the image segmentation of light leakage region, the typical light-leaking type, such as the point defect, the wedge defect, and the surface defect can be identified. By using the image quality based method, the applicability of our proposed system can be improved dramatically. Many experiment results have proved the validity and effectiveness of this method.
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Haoting Liu, Haoting Liu, Wei Wang, Wei Wang, Feng Gao, Feng Gao, Lianjie Shan, Lianjie Shan, Yuzhou Ma, Yuzhou Ma, Wenqian Ge, Wenqian Ge, } "Light-leaking region segmentation of FOG fiber based on quality evaluation of infrared image", Proc. SPIE 9233, International Symposium on Photonics and Optoelectronics 2014, 923308 (21 August 2014); doi: 10.1117/12.2067210; https://doi.org/10.1117/12.2067210
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