2020
DOI: 10.1007/s40799-020-00415-3
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Image Processing and Edge Detection Techniques to Quantify Shock Wave Dynamics Experiments

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Cited by 13 publications
(6 citation statements)
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“…Although reflected waves and secondary shocks meet in Figure 4(f) and (g), they continue to spread along the original trajectory and curvature of blast waves, it seems that the gas did not collide, this phenomenon was also clearly captured in previous experiments (Zaghloul et al, 2021; Zheng et al, 2021). It can be seen from the pressure distribution in Figure 10(c), this phenomenon can be explained as two waves merge to form a high-pressure area and then spread to the surroundings with less energy loss.…”
Section: Simulation Studiessupporting
confidence: 57%
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“…Although reflected waves and secondary shocks meet in Figure 4(f) and (g), they continue to spread along the original trajectory and curvature of blast waves, it seems that the gas did not collide, this phenomenon was also clearly captured in previous experiments (Zaghloul et al, 2021; Zheng et al, 2021). It can be seen from the pressure distribution in Figure 10(c), this phenomenon can be explained as two waves merge to form a high-pressure area and then spread to the surroundings with less energy loss.…”
Section: Simulation Studiessupporting
confidence: 57%
“…Obviously, under such complex blast conditions, traditional pen gauges are difficult to arrange due to the uncertain direction of blast waves, optical testing (Knock et al, 2015; McNesby et al, 2014; Wu et al, 2010) is a more intuitive and accurate method, and the morphology of blast waves in the air can be recorded without interference. Images of fireballs (Rigby et al, 2020; Zheng et al, 2021) and blast waves (Gitterman, 2013; Mizukaki et al, 2013) can be used to analyze the formation mechanism of blast loads and check numerical models better.…”
Section: Introductionmentioning
confidence: 99%
“…The schlieren imaging was post-processed in order to automate feature tracking (e.g., edge detection) of shock fronts. The algorithms used are detailed in the previous work of Zheng et al [126]. The processed schlieren photographs were compared against simulated frames at the same time after detonation.…”
Section: Schlieren Imagingmentioning
confidence: 99%
“…Using mathematical morphology for image processing, in addition to the flexible combination of the four basic operations, different structural elements can also have an impact on edge detection [13]. Moreover, for the extraction of edges using expansion etching, a structural element will only significantly work on edges that are perpendicular to it.…”
Section: Pixel-level Edge Algorithm Based On Noise-resistant Mathematical Morphologymentioning
confidence: 99%