适合FPGA进一步实现的提高目标光边界确定精度的方法选择与研究

Y. Chursin, Ruslan A. Nurmukhametov
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摘要

本文介绍了一种在发散光通量下,通过对物体阴影边界的分析,获得物体几何参数的光学方法。使用这种方法时出现的主要任务之一是实时过滤高频噪声信号。本文讨论并比较了两种采用fpga的光信号滤波方法。
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Selection and Research of Methods Increasing Optical Boundaries Determining Accuracy of Objects Suitable for Further FPGA Implementation
The article describes an optical method for obtaining the geometric parameters of an object, based on the analysis of the boundaries of the object’s shadow in a divergent light flux. One of the main tasks that arises when using this method is filtering a noisy signal in real time with a high frequency. The article discusses and compares two photo signal filtering methods using FPGAs.
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