光电工程, 2017, 44 (7): 695, 网络出版: 2017-11-27  

基于PMP的钢轨三维形貌在线测量模糊条纹复原

Image restoration for blurred fringes of rail profile 3D online measurement based on PMP
作者单位
1 西南交通大学物理科学与技术学院,成都 610031
2 西华师范大学电子信息工程学院,四川 南充 637009
摘要
在线相位测量轮廓术(PMP)中,当被测物体运动速度较高时,所采集的变形条纹往往为运动模糊图像,使得复原误差增大,严重时可能导致三维重建无法进行。将在线PMP运用于钢轨外形及表面缺陷的在线三维测量时,为了实现钢轨表面模糊变形条纹的清晰化,本文对维纳滤波法、点扩散函数算法、盲解卷积算法和Richardson-Lucy算法等几种模糊图像复原算法进行了对比分析,用峰值信噪比对模糊条纹图像的复原效果进行评估。同时,研究了车辆运行速度和图像复原效果之间的关系,得出了复原效果与运行速度之间的关系曲线,进行了误差分析,并用在线PMP实现了钢轨外形的三维重建。理论及实验结果表明:在对钢轨外形轮廓及表面缺陷的在线三维测量时,Richardson-Lucy算法的复原效果最佳,图像复原程度与车辆运行速度呈多项式关系。
Abstract
In online phase measurement profilometry (PMP), when the velocity of the object is quite high, the collected reformed fringes often appear to be motion-blurred images, which increases the measurement error, or even leads to the 3D reconstruction failure. In the online PMP 3D measurement of rail shape and surface flaw, in order to clarify the blurred reformed fringes of the rail, several restoration methods, such as Wiener Filtering, Point Spread Function algorithm, Blind Deconvolution algorithm, and Richardson-Lucy algorithm were compared and analyzed. And the peak signal to noise ratio (PSNR) is used for evaluating the restoration effect. Meanwhile, the relationship between the vehicle speed and the restoration effect was studied, the error was analyzed and the 3D rail shape was reconstructed based on online PMP. Theoretical and experimental results show that in the online 3D measurement of rail shape and surface flaw, the Richardson-Lucy algorithm is the best one for image restoration of motion blur, and the relationship between the effect of image restoration and the vehicle speed is a polynomial.

袁宏翔, 李金龙, 罗鹏, 高晓蓉. 基于PMP的钢轨三维形貌在线测量模糊条纹复原[J]. 光电工程, 2017, 44(7): 695. Hongxiang Yuan, Jinlong Li, Peng Luo, Xiaorong Gao. Image restoration for blurred fringes of rail profile 3D online measurement based on PMP[J]. Opto-Electronic Engineering, 2017, 44(7): 695.

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