Abstract
This paper proposes a detection and location method for a special culture carrier for Nucleic Acid Detection in COVID-19. In order to reduce the pollution caused by manual operation and promote the automation of Nucleic Acid Detection, we use the image processing and machine vision techniques to detect and locate the target culture carrier. By using the OpenCV library functions, we can complete the detection process of image processing algorithm. Based on the recognition and size measurement of the existing training carrier, the appropriate threshold is obtained through many experiments to complete the detection and location of the target culture carrier. Finally, we gather 10 pictures of images for detection and evaluation, the feasibility and efficiency of this method is demonstrated through the actual detection operation.
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CITATION STYLE
Cui, J., Wang, J., Li, Q., Lv, P., Li, X., Yang, X., & Zhang, L. (2020). Location and Detection Method of Ring-shaped Culture Carrier for Nucleic Acid Detection. In Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020 (pp. 1257–1262). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/DDCLS49620.2020.9275178
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