Analysis of Effect on Camera Distortion for Measuring Velocity Using Surface Image Velocimeter

Jun H. Lee, Byungman Yoon, Seo Jun Kim
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Abstract

A surface image velocimeter (SIV) measures the velocity of a particle group by calculating the intensity distribution of the particle group in two consecutive images of the water surface using a cross-correlation method. Therefore, to increase the accuracy of the flow velocity calculated by a SIV, it is important to accurately calculate the displacement of the particle group in the images. In other words, the change in the physical distance of the particle group in the two images to be analyzed must be accurately calculated. In the image of an actual river taken using a camera, camera lens distortion inevitably occurs, which affects the displacement calculation in the image. In this study, we analyzed the effect of camera lens distortion on the displacement calculation using a dense and uniformly spaced grid board. The results showed that the camera lens distortion gradually increased in the radial direction from the center of the image. The displacement calculation error reached 8.10% at the outer edge of the image and was within 5% at the center of the image. In the future, camera lens distortion correction can be applied to improve the accuracy of river surface flow rate measurements.
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表面图像测速仪测量速度对相机畸变的影响分析
表面图像测速仪(SIV)是利用相互关联的方法,在两幅连续的水面图像中计算粒子群的强度分布,从而测量粒子群的速度。因此,为了提高SIV计算流速的精度,准确计算图像中粒子群的位移是很重要的。也就是说,必须精确计算待分析两幅图像中粒子群物理距离的变化。在使用相机拍摄的实际河流图像中,不可避免地会出现镜头畸变,从而影响图像中的位移计算。在这项研究中,我们使用密集和均匀间隔的网格板分析了相机镜头畸变对位移计算的影响。结果表明,相机镜头畸变从图像中心开始沿径向逐渐增大。在图像外缘位置位移计算误差达到8.10%,在图像中心位置位移计算误差在5%以内。在未来,相机镜头畸变校正可用于提高河面流速测量的精度。
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