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Halcon-based optical fiber geometry parameters measurement algorithm

机译:基于漏极的光纤几何参数测量算法

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This paper presents an algorithm to measure geometric parameters of optical fibers based on Halcon. The algorithm enhances the contrast of the fiber image and uses canny edge detection operator to extract the contours of fiber cross section. In order to remove noise in the contour, this paper studies new methods, include setting the contour length range, whether each contour is circular or not and whether the center of the circular contour and the center of the fiber core is consistent or not. These methods remove most of the noise. Finally, the effective contours are merged and then approximated by circle and ellipse. According to the mathematical model, all parameters required can be obtained. Experiment results show that the algorithm accuracy meet the needs.
机译:本文介绍了一种算法,用于测量基于Halcon的光纤几何参数。该算法增强了光纤图像的对比度,并使用罐头边缘检测操作员提取光纤横截面的轮廓。为了去除轮廓中的噪声,本文研究了新方法,包括设置轮廓长度范围,无论每个轮廓是否是圆形的,还是圆形轮廓的中心和光纤核心的中心是一致的。这些方法消除了大部分噪声。最后,合并有效轮廓,然后通过圆和椭圆近似。根据数学模型,可以获得所需的所有参数。实验结果表明,算法精度满足需求。

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