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SUB-PIXEL SUBDIVISION RESEARCH ON LINEAR CCD SCREEN IMAGES

机译:线性CCD屏幕图像的亚像素细分研究

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摘要

Based on intersection measurement principle, we use two high speed linear CCD cameras consisting of optoelectronic system to measure the coordinates of the high speed object while it passes through the screen. Its testing accuracy interrelates with object images edge. When the object passes far away the centre region of big size screen, the images edges become blurred. The result of the commonly edge detection operator exist a bigger error. In this paper we present a multiscale method that combines the Robert operator with three-order spline interpolation to compute the edges in promptly and accurately. Using Robert operator detect the image to obtain approximately edges point, take that as center, and then three-order spline functions interpolate the image that cover 7 gray data. The extremums of the spline function occur at the grid point. The points correspond with the sub-pixel edges of the image. The practical measure results prove this method and improve the coordinates detection precision 3.1mm.
机译:根据相交测量原理,我们使用两个由光电系统组成的高速线性CCD摄像机来测量高速物体通过屏幕时的坐标。其测试精度与目标图像边缘相关。当物体远离大尺寸屏幕的中心区域时,图像边缘变得模糊。通常边缘检测算子的结果存在较大的误差。在本文中,我们提出了一种多尺度方法,该方法将Robert算子与三阶样条插值结合起来,可以快速,准确地计算边缘。使用Robert算子检测图像以获得近似的边缘点,将其作为中心,然后使用三阶样条函数对覆盖7个灰度数据的图像进行插值。样条函数的极值出现在网格点处。这些点对应于图像的子像素边缘。实际测量结果证明了该方法的有效性,提高了坐标检测精度3.1mm。

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