Towards the development of an algorithm for automatic analysis and detection of shock waves in the schlieren visualization technique

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This paper presents the development of an algorithm for identifying shock waves formed during the supersonic combustion process, detonation, in a pulsed detonation chamber. The algorithm is based on image binarization techniques, followed by the identification of regions of interest in the images, the detection and isolation of the edges of these regions, and the determination of the wave speed between two consecutive frames. The advantage of this automation process is the efficiency in analysing the repeated detonation cycles of a pulsed detonation chamber. Additionally, it can provide a more accurate evaluation of the data, making it a valuable tool for researchers and engineers in various scientific fields and shock wave applications.