基于互相关和改进高斯拟合的光斑中心提取方法

发布时间：2018-04-20 21:10

本文选题：激光三角法 + 光斑中心提取　；参考：《光电子·激光》2017年02期

【摘要】：针对差分激光三角法海面溢油油膜厚度测量系统中光斑图像中心提取的问题,在分析用于系统标定的陶瓷量块和所测量的石油表面光斑图像特征的基础上,采用互相关与改进型高斯拟合的算法对光斑中心进行提取。算法首先采用标准高斯图像模板与光斑图像进行互相关,得到了保留图像特征且光顺的光斑图像;然后,利用上下边沿信息进行高斯计算的改进型高斯拟合方法进行光斑图像拟合,由拟合得到的高斯图像参数计算出光斑中心坐标。通过本算法与目前已有的平方加权质心法、高斯拟合法、改进型高斯拟合法和互相关高斯拟合法对图像光斑中心提取结果的比较与分析,得出互相关和改进高斯拟合相结合的方法在光斑提取重复性精度,以及使用本算法对陶瓷量块厚度测量精度均好于其它方法,并对石油表面图像进行了中心提取实验。结果表明,本文算法适合于差分激光三角法海面溢油油膜厚度测量系统的光斑提取。
[Abstract]:Aiming at the problem of extracting the center of the spot image in the differential laser triangulation measuring system of oil spill film thickness, the characteristics of the ceramic measuring block and the measured oil surface spot image used for the system calibration are analyzed. Cross-correlation and improved Gao Si fitting algorithm were used to extract the spot center. The algorithm firstly uses the standard Gao Si image template and the spot image to correlate each other to get the smooth spot image, which retains the feature of the image, and then, By using the upper and lower edge information of Gao Si, the modified Gao Si fitting method is used to fit the spot image, and then the coordinates of the center of the spot are calculated from the parameters of the image obtained from the fitting. Through the comparison and analysis between this algorithm and the existing square weighted centroid method, Gao Si fitting method, improved Gao Si fitting method and cross-correlation Gao Si fitting method, the image spot center extraction results are compared and analyzed. It is concluded that the combination of cross-correlation and improved Gao Si fitting method is better than other methods in the reproducibility of spot extraction, and the accuracy of measuring the thickness of ceramic measuring blocks by this algorithm is better than that of other methods, and the center extraction experiment of oil surface image is carried out. The results show that the proposed algorithm is suitable for spot extraction of oil spill film thickness measurement system using differential laser triangulation.
【作者单位】：天津大学精密仪器与光电子工程学院光电信息技术教育部重点实验室;光电信息技术教育部重点实验室;天津大学电气与自动化工程学院;
【基金】：国家“863”高技术项目(2008AA09Z115) 海洋公益性行业科研专项经费项目(201305002-2)
【分类号】：TP391.41

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