基于混合互相关光流算法的背景定向纹影温度场测量研究

刘映伶; 李虎; 官廷锋; 朱海东; 焦萌倩

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基于混合互相关光流算法的背景定向纹影温度场测量研究

光学传感与测量 | 更新时间：2026-01-05

- 基于混合互相关光流算法的背景定向纹影温度场测量研究
- Research on temperature field measurement using Background-oriented schlieren based on hybrid Cross-correlation optical flow algorithm
- 光学技术 2025年51卷第6期页码：743-749
- 作者机构：
  
  1.桂林信息科技学院基础教研部，广西桂林 541199
  2.桂林信息科技学院机电工程学院，广西桂林 541199
  3.桂林电子科技大学机电工程学院，广西桂林 541004
- 作者简介：
  
  刘映伶（1983— ），女，讲师，硕士，从事计算机视觉测量、应用数学。liuyingling0130@126.com
  18877315065@163.com
- 基金信息：
  
  广西壮族自治区自然科学基金项目(2017GXNSFAA198122);广西高校中青年教师科研基础能力提升项目(2025KY1070);桂林信息科技学院科学研究培育项目(XJ2024091;XJ2024107)
- DOI：
  中图分类号： TB942
- 收稿：2025-07-21，
  
  修回：2025-09-09，
  
  纸质出版：2025-11-20
- 稿件说明：
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刘映伶,李虎,官廷锋等.基于混合互相关光流算法的背景定向纹影温度场测量研究[J].光学技术,2025,51(06):743-749.

LIU Yingling,LI Hu,GUAN Tingfeng,et al.Research on temperature field measurement using Background-oriented schlieren based on hybrid Cross-correlation optical flow algorithm[J].OPTICAL TECHNIQUE,2025,51(06):743-749.
刘映伶,李虎,官廷锋等.基于混合互相关光流算法的背景定向纹影温度场测量研究[J].光学技术,2025,51(06):743-749. DOI：

LIU Yingling,LI Hu,GUAN Tingfeng,et al.Research on temperature field measurement using Background-oriented schlieren based on hybrid Cross-correlation optical flow algorithm[J].OPTICAL TECHNIQUE,2025,51(06):743-749. DOI：

摘要

背景定向纹影是近年来出现的非侵入式全场光学测量技术，可用于温度场的定量测量。背景图像位移计算的精度直接决定着温度场重建的精度，但目前主流的混合光流算法的重建位移场精度不高。针对这一问题，提出了一种新的混合互相关光流算法，使用高斯径向基函数插值结合基于梯度恒定假设的光流算法对位移场进行细化。将该方法结合多尺度小波噪声背景图案对不同当量比的甲烷/空气层流预混火焰上方的温度场进行重建，与基于物理的光流算法和混合光流算法进行了比较，该方法具有较高精度和鲁棒性，而且在保持热流场的小散度和涡度结构等流动细节及减少异常值方面也更具有优势。重建的温度值与热电偶测量值的相对平均误差仅为2.7%，实验表明该方法可有效地重建高精度的温度场。

Abstract

Background

-Oriented Schlieren （BOS） is a non-intrusive

full-field optical measurement technique that has emerged in recent years for the quantitative measurement of temperature fields. The accuracy of background image displacement calculation is critical for the precision of temperature field reconstruction; however

the reconstruction displacement fields obtained by current mainstream hybrid optical flow algorithms lack sufficient accuracy. To address this limitation

a novel hybrid cross-correlation optical flow algorithm is proposed. This method refines the displacement field using Gaussian radial basis function interpolation combined with a gradient constancy assumption-based optical flow algorithm. The proposed approach

integrated with a multi-scale wavelet noise background pattern

was applied to reconstruct the temperature fields above laminar premixed methane/air flames at different equivalence ratios. Comparisons were made with physically based optical flow algorithms and existing hybrid optical flow algorithms. The results demonstrate that the proposed method offers superior accuracy and robustness. Furthermore

it exhibits significant advantages in preserving flow details inherent to thermal flow fields

such as small divergence and vorticity structures

while simultaneously reducing outliers. The relative mean error between the reconstructed temperature values and thermocouple measurements was as low as 2.7%. Experimental results confirm that this method effectively reconstructs high-precision temperature fields.

关键词

Keywords

references

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