2D HTV image processing in the complex combustion field

Jun Shao; Jing-feng Ye; Sheng Wang; Guo-hua Li; Bo-lang Fang; Zhen-rong Zhang; Zhi-yun Hu; Jing-Yin Li

doi:10.1117/12.2523356

29 March 2019 2D HTV image processing in the complex combustion field

Jun Shao, Jing-feng Ye, Sheng Wang, Guo-hua Li, Bo-lang Fang, Zhen-rong Zhang, Zhi-yun Hu, Jing-Yin Li

Proceedings Volume 11046, Fifth International Symposium on Laser Interaction with Matter; 110460L (2019) https://doi.org/10.1117/12.2523356
Event: Fifth International Symposium on Laser Interaction with Matter, 2018, Changsha, China

Abstract

In order to measure the 2-D velocimetry distribution without seed injection in the high-speed flow field of the engine, the 2-D HTV (hydroxyl tagging velocimetry) technique in the complex combustion field has been developed. The image processing method combining difference method with cross correlation method is presented. The background noise is suppressed by the difference method. The variable-template is used to perform cross correlation operation with experimental images, and the obtained correlation images is fitted with two-dimensional polynomial. Not only can the complex background interference be suppressed, but also can realize accurate extraction position of the tagging cross grid center.So the extraction accuracy is better than 0.25 pixels, when the image SNR is higher than 2. At the same time, based on Matlab software, the data processing program is written. The velocimetry distribution is gained by processing the experimental data in the flow field of the scramjet model. The speed calculation error is less than 5%, which meets the requirement of measurement accuracy of the system.

Citation Download Citation

Jun Shao, Jing-feng Ye, Sheng Wang, Guo-hua Li, Bo-lang Fang, Zhen-rong Zhang, Zhi-yun Hu, and Jing-Yin Li "2D HTV image processing in the complex combustion field", Proc. SPIE 11046, Fifth International Symposium on Laser Interaction with Matter, 110460L (29 March 2019); https://doi.org/10.1117/12.2523356

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