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Coalescence analysis for evolving foams via optical flow computation on projection image sequences

机译:通过对投影图像序列进行光流计算,对演化的泡沫进行聚结分析

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摘要

A novel image-processing procedure is proposed for the analysis of sequences of two-dimensional projection images. Sudden events like the merging of bubbles in an evolving foam can be detected and spatio-temporally located in a given projection image sequence. The procedure is based on optical flow computations extended by a forward-backward check for each time step. Compared with prior methods, efficient suppression of noise or false events is achieved owing to uniform foam motion, and the reliability of detection is thus increased. The applicability of the proposed procedure in combination with synchrotron radiography is illustrated by a series of characteristic studies of foams of different kind. First, the detection of single-bubble collapses in aqueous foams is considered. Second, a spatial distribution of coalescence events in metals foamed in casting molds is estimated. Finally, the structural stability of polymer foams containing admixed solid nanoparticles is examined.
机译:提出了一种新颖的图像处理程序,用于分析二维投影图像的序列。可以检测到突发事件,例如气泡在不断演化的泡沫中融合,并可以在时间上位于给定的投影图像序列中。该程序基于通过每个时间步的向前-向后检查扩展的光流计算。与现有方法相比,由于均匀的泡沫运动而实现了对噪声或错误事件的有效抑制,从而提高了检测的可靠性。通过对不同种类的泡沫进行一系列特性研究,说明了所提出的程序与同步辐射成像相结合的适用性。首先,考虑检测含水泡沫中的单气泡塌陷。其次,估计在铸型中发泡的金属中聚结事件的空间分布。最后,检查了包含混合的固体纳米颗粒的聚合物泡沫的结构稳定性。

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