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Research on Light Source Optimization of Microfiber Measurement and Recognition System Based on Micro-optical Imaging |
ZHENG Zhi-yuan1,YU Xiao-lei1,2,LIU Zhen-lu1,ZHAO Zhi-min1 |
1. Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
2. Jiangsu Institute of Quality and Standardization, Nanjing, Jiangsu 210029, China |
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Abstract The illumination source of the microscopic optical imaging fiber recognition system has a great influence on the imaging quality. Due to the limited luminous power of a single LED light source and uneven light distribution on the illuminated surface, the micro-nano fiber (average diameter of monofilament 15~40μm) collected by the system was blurred, which affected the accuracy of measurement and recognition results. According to the optical characteristics of LED, the illumination source of the system was optimized. Three different LED planar light source arrays were designed. According to the expression of the illuminance of the LED array on the illuminated surface, the simulation showed the LED array. The illuminance distribution was verified by experiments. The image recognition process and the peak signal-to-noise ratio (PSNR) of the image parameters were evaluated for the images actually detected by the system, and the optimization results were given. The research results showed that the optimized LED planar light source array effectively solved the problem of unclear blur recognition of microfibril images caused by uneven illumination. The image of the fiber sample obtained after optimization was clear, which effectively improved the image quality of the system for detecting fiber samples, and this provided a new way for microfiber measurement identification and research.
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Received: 08 May 2019
Published: 08 June 2020
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