A New Algorithm for Automatic Tracing of Particles
A New Algorithm for Automatic Tracing of Particles
复制标题
一种自动追踪粒子的新算法
DOI：
10.2208/prohe.34.689
复制
发表时间：
1990
期刊：
影响因子：
--
通讯作者：
K. Takehara
中科院分区：
文献类型：
--
作者：
T. Etoh;K. Takehara
这项研究的目的是开发跟踪流体中颗粒的新技术。它们包括以下三个要素。第一部分研究了以聚苯乙烯薄膜为包覆材料，以纯水为填充介质的微胶囊的制备方法。它们的平均比重和平均直径分别为1.0046和673μm。第二部分提出了一种客观确定亮度阈值的方法，实现了粒子图像与背景的分离。最后，一种新的算法正在开发中，用于跟踪粒子。该算法利用卡尔曼滤波理论预测粒子在下一帧中的位置和亮度，并利用χ2检验来估计连续帧中两幅粒子图像相同的概率。
The aim of this research is to develop new techniques for tracking particles in fluid. They consist of three elements, as follows. In the first part, a method to make microcapsules which are filled with pure water and covered with thin film of polystyrene was developed. Their mean specific gravity and mean diameter were 1.0046 and 673μm, respectively. In the second part, a new method was proposed to objectively determine the threshold of brightness, which separates particel-images from background. Finally, a new algorithm is now under development for tracking particles. It is composed of Kalman's filtering theory to predict location and brightness of each particle in the next frame and χ2-test to evaluate the probability that a pair of particle-images in the successive frames are the same one.