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A Novel Method for Bubble Identification Based on ANN

机译:基于ANN的泡沫识别新方法

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摘要

OPC is difficult to identify the released bubble in the process of the sample flowing, thus affecting the counting efficiency. This paper presents a bubble Identification method based on ANN, by increasing the number of detection angle and choosing the lateral light structure, conducive to ANN processing FD samples, according to the different refractivity to distinguish bubble. Simulation results validate the feasibility and effectiveness.
机译:OPC难以在样品流动的过程中识别释放的气泡,从而影响计数效率。本文提高了基于ANN的气泡识别方法,通过增加检测角度的数量并选择横向光结构,利用ANN处理FD样品,根据不同的凹陷来区分泡沫。仿真结果验证了可行性和有效性。

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