Image Processing and Edge Detection Techniques to Quantify Shock Wave Dynamics Experiments
Image Processing and Edge Detection Techniques to Quantify Shock Wave Dynamics Experiments
复制标题
量化冲击波动力学实验的图像处理和边缘检测技术
DOI:
10.1007/s40799-020-00415-3
复制
发表时间:
2020
影响因子:
1.6
通讯作者:
L. Zheng, B. Lawlor
中科院分区:
文献类型:
--
作者:
L. Zheng, B. Lawlor
Experimental studies of multiple shock wave interaction to study transition from regular to irregular reflection rely on the processing of a large amount of schlieren photographs. Here we present an automated algorithm to track individual shock fronts and triple points. First, correction to any optical distortions is applied to the photographs. Next, noise removal and edge detection algorithms are implemented to extract the pixel locations of the shocks. The edge detection algorithm takes advantage of the light intensity feature of the shock waves to distinguish shock fronts from background noise. This algorithm is also capable of separating entangled shock fronts through pattern recognition, which utilizes a discretization method to reduce complex shock geometries to localized linear patterns. Collectively, the algorithms can track shock wave characteristics to sub-pixel precision. This algorithm has been deployed for post processing of shock wave experiments to extract shock wave characteristics including positions and propagation velocities of shock fronts, vertical and horizontal velocities of Mach stems, and triple point trajectories during shock-shock interactions. Results show that the algorithm can process large volumes of data with minimal manual operations, making image processing more precise, efficient and productive while allowing for tracking of Mach stems and triple points.
影响因子:
1.6
作者:
Mellor, W.;Lakhani, E;Valenzuela, J.C.;Lawlor, B.;Zanteson, J.;Eliasson, V.
通讯作者:
Eliasson, V.
DOI:
10.1007/s41939-020-00076-0
发表时间:
2020
影响因子:
2.2
作者:
Janelle Coleen A. Dela Cueva, Lingzhi Zheng
通讯作者:
Janelle Coleen A. Dela Cueva, Lingzhi Zheng
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
Suxia Cui;Yonghui Wang;Xiaoqing Qian;Z. Deng
通讯作者:
Z. Deng