Automatic Shock Detection, Extraction, and Fitting in Schlieren and Shadowgraph Visualization

No AccessTechnical NotesAutomatic Shock Detection, Extraction, and Fitting in Schlieren Shadowgraph VisualizationGuoshuai Li, Konstantinos Kontis Zhaolin FanGuoshuai LiChina Aerodynamics Research Development Center, 621000 Mianyang, People’s Republic of China*Assistant Professor, High Speed Institute; (Corresponding Author).Search for more papers by this author, KontisUniversity Glasgow, Scotland G12 8QQ, United Kingdom†Professor, Department Aerospace Science, School Engineering; . Fellow AIAA.Search author FanChina China‡Professor; .Search authorPublished Online:23 Feb 2021https://doi.org/10.2514/1.J059667SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations About References [1] Settles G. S. Hargather M. 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TopicsAerodynamicsComputer GraphicsComputing InformaticsComputing, Information, CommunicationEquations DynamicsFluid DynamicsImage ProcessingNormal WaveOblique WaveShock WavesSignal ProcessingVortex KeywordsHigh TunnelImage SegmentationFrequency DomainComputer VisionDAQFlow VisualizationImage GradientOblique ShockTransistorsRankine Hugoniot RelationAcknowledgmentsThe authors are grateful Muhammed Burak Agir, Hiromu Murakami, Senthilkumar Subramanian their help during shadowgraph experiments. Thanks go Neil Owen, Electronics Technician Engineering University designing signal conditioner Alistair Macfarlane, Mechanical Technician, manufacturing shock tube. Special thanks Margaret Lucas providing access high-speed camera.PDF Received5 April 2020Accepted22 January 2021Published online23 February