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Software Detection and Capturing of pulse Signal

机译:脉冲信号的软件检测和捕获

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摘要

In allusion to measuring the wavelength of plus laser using the Fabry_Perot etalon, we put forward a concrete method to detect and capture the plus signal: Firstly basing on the gray characteristic of the sequential images captured real-timely by image card and the trait of the interferogram, select the average gray-value of given region of image as the characteristic value, then acquire the characteristic value of each frame to draw the statistical histogram, calculate threshold based upon the statistical histogram through selecting reasonable algorithm. Secondly write callback program of image processing on the basis of the development library provided with the image card together to complete parallel image processing, image capturing and image processing at the same time. Judging whether this frame contains the plus information that we wanted through comparing the characteristic value with the predefined threshold, decide whether or not to give out the command of stopping capturing and freezing image. The key of this method is correctly calculating the threshold and redeveloping the user program of image card to complete parallel image processing.
机译:针对使用Fabry_Perot标准具测量正激光的波长,我们提出了一种检测和捕获正信号的具体方法:首先,基于图像卡实时捕获的连续图像的灰度特性和图像的特征。干涉图,选择图像给定区域的平均灰度值作为特征值,然后获取各帧的特征值以绘制统计直方图,通过选择合理的算法基于统计直方图计算阈值。其次,在与图像卡一起提供的开发库的基础上,编写图像处理的回调程序,共同完成并行图像处理,图像捕获和图像处理。通过将特征值与​​预定义的阈值进行比较,判断该帧是否包含我们想要的正信息,确定是否发出停止捕获和冻结图像的命令。该方法的关键是正确计算阈值并重新开发图像卡的用户程序以完成并行图像处理。

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