从图像中精确测量颗粒位置
Accurate particle position measurement from images
摘要：
矩量法是一种用于颗粒位置亚像素估计的图像分析技术。计算的粒子位置的总误差包括像素锁定和每个像素中的随机噪声的影响。像素锁定（也称为峰值锁定）是一种伪影，其中计算的粒子位置集中在相对于像素边缘的某些位置。我们报告模拟，以了解误差的来源及其对实验者可以控制的参数的依赖性。我们提出了一种算法，我们找到了实验者可以使用的最佳参数，以尽量减少总误差和像素锁定。模拟尘埃等离子体实验，我们发现，一个亚像素的精度为0.017像素或更好的可以达到。这些结果也是有用的，以提高粒子的位置测量和粒子跟踪测速（PTV），使用视频显微镜，在包括胶体，生物学和流体力学领域。
英文摘要：
The moment method is an image analysis technique for sub-pixel estimation of particle positions. The total error in the calculated particle position includes effects of pixel locking and random noise in each pixel. Pixel locking, also known as peak locking, is an artifact where calculated particle positions are concentrated at certain locations relative to pixel edges. We report simulations to gain an understanding of the sources of error and their dependence on parameters the experimenter can control. We suggest an algorithm, and we find optimal parameters an experimenter can use to minimize total error and pixel locking. Simulating a dusty plasma experiment, we find that a sub-pixel accuracy of 0.017 pixel or better can be attained. These results are also useful for improving particle position measurement and particle tracking velocimetry (PTV) using video microscopy, in fields including colloids, biology, and fluid mechanics.
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