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Proceedings Paper

Approach for hydroxyl tagging velocimetry signal extraction in supersonic combustion field
Author(s): Jun Shao; Jinegfeng Ye; Zhiyun Hu; Jingyin Li
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Paper Abstract

The key to improve Hydroxyl Tagging Velocimetry (HTV) Measurement precision in the laser supersonic combustion diagnosis research is to improve the effect of image processing. In terms of strong OH background and low signal-to-noise ratio (SNR) issues, the approach for HTV signal extraction in supersonic combustion filed is proposed. Firstly, the method of compensation-and-correction-window-filter and the progressive approach characteristic filtering window approach are adopted to remove background for image preprocessing. Then the algorithm combined image segmentation and the skeleton extraction is employed for signal extraction, that improves the signal identification ability in the interferences of fierce combustion zone of a mass of hydroxyl background, solves the insufficient precision problem of extracting hydroxyl effective signal, what's more, achieves the effective information of velocity distribution in combustion flow.

Paper Details

Date Published: 12 May 2017
PDF: 6 pages
Proc. SPIE 10173, Fourth International Symposium on Laser Interaction with Matter, 101731B (12 May 2017); doi: 10.1117/12.2267908
Show Author Affiliations
Jun Shao, Xi'an Jiaotong Univ. (China)
Northwest Institute of Nuclear Technology (China)
Jinegfeng Ye, Northwest Institute of Nuclear Technology (China)
Zhiyun Hu, Northwest Institute of Nuclear Technology (China)
Jingyin Li, Xi’an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 10173:
Fourth International Symposium on Laser Interaction with Matter
Yongkun Ding; Guobin Feng; Dieter H. H. Hoffmann; Jianlin Cao; Yongfeng Lu, Editor(s)

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