摘要
为了满足工业检测中快速检测光纤横截面几何参数的需求,运用数字图像处理技术实现光纤几何参数测量。最大类间方差法用于分割高对比度光纤二次涂覆层区域;改进Canny算法用于提取低对比度光纤一次涂覆层和包层边缘,该算法在传统Canny算法的基础上运用局部区域距离阈值法代替双阈值法中的高阈值,实现单一边缘响应原则;结合使用二次曲线标准化法和齐次方程法用于边缘曲线拟合,并用高斯-牛顿迭代法求解光纤几何参数。检测结果与高精度光纤测试仪FGM-502进行对比,结果证明本文研究的光纤检测算法的有效性及准确性,满足企业光纤几何参数检测需求。
To meet the requirements of rapid detection of fiber cross-section geometry parameters in the measurement of industry, digital image processing technology is used to realize fiber geometric parameter measurement. The high-contrast fiber secondary coating layer region is segmented based on Otsu method; the edge detection is performed on the low-contrast fiber primary coating layer and cladding layer based on the improved Canny algorithm. The algorithm uses the local region distance threshold based on the traditional Canny algorithm. The method replaces the high threshold in the double threshold method to realize the single edge response principle; the curve is fitted to the edge based on the combination of the quadratic curve normalization method and the homogeneous equation method, and the Gauss-Newton iteration method is used to solve the fiber geometric parameters. The test results are compared with the high-precision fiber tester FGM-502, the results prove the validity and accuracy of the fiber detection algorithm studied in this paper, and the accuracy meets the requirements of enterprise fiber geometry parameter detection.
引文
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