Two-channel model based adaptive schlieren detection algorithm for BOS system

Han Liu, Yanmei Zhang*, Baojun Zhao, Haichao Guo, Boya Zhao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A schlieren detection algorithm is proposed for the ground-to-air background oriented schlieren (BOS) system to achieve high-speed airplane shock waves visualization. The proposed method consists of three steps. Firstly, image registration is incorporated for reducing errors caused by the camera motion. Then, the background subtraction dual-model single Gaussian model (BS-DSGM) is proposed to build a precise background model. The BS-DSGM could prevent the background model from being contaminated by the shock waves. Finally, the twodimensional orthogonal discrete wavelet transformation is used to extract schlieren information and averaging schlieren data. Experimental results show our proposed algorithm is able to detect the aircraft in-flight and to extract the schlieren information. The precision of schlieren detection algorithm is 0.96. Three image quality evaluation indices are chosen for quantitative analysis of the shock waves visualization. The white Gaussian noise is added in the frames to validate the robustness of the proposed algorithm. Moreover, we adopt two times and four times down sampling to simulate different imaging distances for revealing how the imaging distance affects the schlieren information in the BOS system.

Original languageEnglish
Article number8710373
Pages (from-to)251-258
Number of pages8
JournalJournal of Systems Engineering and Electronics
Volume30
Issue number2
DOIs
Publication statusPublished - Apr 2019

Keywords

  • background model
  • background oriented schlieren (BOS)
  • schlieren detection
  • wavelet decomposition.

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