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- W4281814439 abstract "In digital imaging, dual-sensor fusion imaging has critical applications because it can improve the Signal-To-Noise ratio (SNR) of images and obtain more details than single-sensor. The frame synchronization time parameter, a vital evaluation factor in dual-sensor fusion imaging, still lacks automated measurement. Although the You Look Only Once Version 4 (YOLOv4) algorithm can achieve target detection of images with high speed and accuracy, it could not obtain the frame synchronization time parameter directly. To solve this problem, this paper proposes an improved method for measuring frame synchronization time parameters based on YOLOv4. In this method, we propose an optimized network and construct the Position Marker Match algorithm and Light-Emitting Diode (LED) lit area conversion algorithm. By compared with other popular methods, the proposed method has higher accuracy and automatically calculates frame synchronization time parameters. At the same time, it shows good generalization ability and robustness." @default.
- W4281814439 created "2022-06-13" @default.
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- W4281814439 date "2022-09-01" @default.
- W4281814439 modified "2023-09-30" @default.
- W4281814439 title "An improved method for measuring frame synchronization time parameters based on YOLOv4" @default.
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- W4281814439 doi "https://doi.org/10.1016/j.micpro.2022.104573" @default.
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