Denoising of PLIF images for flow parameter measurement

WANG Sheng; ZHANG Zhen-rong; SHAO Jun; LI Guo-hua; HU Zhi-yun; YE Jing-feng

doi:10.3788/OPE.20132107.1858

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Denoising of PLIF images for flow parameter measurement

更新时间：2020-08-12

- Denoising of PLIF images for flow parameter measurement
- Optics and Precision Engineering Vol. 21, Issue 7, Pages: 1858-1864(2013)
- 作者机构：
  
  西北核技术研究所激光与物质相互作用国家重点实验室，陕西西安 710024
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132107.1858
  CLC： TP391
- Received：03 January 2013，
  
  Revised：12 March 2013，
  
  Published Online：15 July 2013，
  
  Published：15 July 2013
- 稿件说明：
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王晟张振荣邵珺李国华胡志云叶景峰. 瞬态流场定量测量中平面激光诱导荧光图像的降噪[J]. 光学精密工程, 2013,21(7): 1858-1864

. Denoising of PLIF images for flow parameter measurement[J]. Editorial Office of Optics and Precision Engineering, 2013,21(7): 1858-1864
王晟张振荣邵珺李国华胡志云叶景峰. 瞬态流场定量测量中平面激光诱导荧光图像的降噪[J]. 光学精密工程, 2013,21(7): 1858-1864 DOI： 10.3788/OPE.20132107.1858.

. Denoising of PLIF images for flow parameter measurement[J]. Editorial Office of Optics and Precision Engineering, 2013,21(7): 1858-1864 DOI： 10.3788/OPE.20132107.1858.

摘要

研究并评价了单幅荧光图像的降噪方法，以便真实、有效地获得用于瞬态流场测量的荧光图像的流场参数。分析了单幅荧光图像中的噪声来源，根据对双线测温信息提取的影响程度，确定米散射强噪声作为主要的滤波对象。分析了不同数字滤波方法的适用范围，并对丙酮荧光显示的流场图像进行了降噪处理。通过检查荧光图像与滤波处理图像的差值图像中含有荧光图像结构信息的程度评价了降噪效果。比较表明，形态学开运算图像重构滤波方法对荧光图像中米散射强噪声去除效果较好，并可较好地保护图像中原有荧光信息的细节。采用形态学开运算图像重构滤波方法对Q2(11)线与P1(7)线激励甲烷/空气预混火焰获得的荧光图像进行处理，得到了较为平滑的二维温度分布，测量温度在2 000 K左右。结果表明，形态学滤波方法在瞬态流场定量测量的PLIF图像降噪处理方面具有一定的应用潜力。

Abstract

Noise removing methods were analyzed and assessed to obtain real and effective measurement parameters extracted from fluorescent images in flow field measurements. The fundamental principle of Planar Laser Induced Fluorescence(PLIF) quantitative measurement was introduced. On the basis of analyzing the sources and characteristics of noises

some noise removing methods were analyzed and the stronger noise from the Mie scattering was determined as the main filtering target. Different filter methods were analyzed

the flow field image from an acetone fluorescent display was processed by denoising

and the denoise results were assessed by checking the residual amount of fluorescent signals in the image. Analysis shows that the morphological grayscale reconstruction method can not only move the noise effectively

but also can remain detailed information of the fluorescent signal remains with highly fidelity. The fluorescent images of methane/air flame induced by Q2(11) andP1(7) lines were filtered and 2D distribution of temperature was obtained in 2 000 K. Results show that morphological grayscale reconstruction method has great potential applications to the noise removing of PLIF images in flow parameter measurements.

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references

OKOJIE R S, DANEHY P M, WATKINS A N, et al.. An overview of NASA hypersonic experimental diagnostic and instrumentation technologies for ground and flight testing [C]. 16th AIAA/DLR/DGLR International Space Planes and Hypersonic Systems and Technologies Conference, AIAA 2009-7279.[2]胡志云,刘晶儒,关小伟,等. 燃烧场参数的激光诊断技术研究[J]. 强激光与粒子束, 2002, 14(5):702-706.HU ZH Y, LIU J R, GUAN X W, et al.. Study on laser diagnostics applied to combustion and flame[J]. High Power Laser and Particle Beams, 2002, 14(5):702-706. (in Chinese)[3]MEIER U E, WOLFF G D, STRICKER W. LIF imaging and 2D temperature mapping in a model combustor at elevated pressure [J]. Aerosp. Sci. Technol., 2000, 4:403-414.[4]NOREN C A, RANDALL T C, VOROBIEFF P. PLIF visualization and quantitative mixing measurements of a supersonic injection nozzle [C]. 37th AIAA Plasma Dynamics and Lasers Conference, 5-8 June, 2006, San Francisco, California, AIAA 2006-2895.[5]CROSLEY D R, SMITH G P. Vibrational energy transfer in laser excited A2+ OH as a flame thermometer [J]. Appl. Opt., 1980, 19:517-520.[6]HANSON R K, SEITZMAN J M, PAUL P H. Planar laser-induced fluorescence imaging of combustion gases [J]. Appl. Phys. B, 1990, 50:441-454.[7]MCMILLIN B K, PALMER J L, HANSON R K. Temporally resolved, two-line fluorescence imaging of NO temperature in a transverse jet in a supersonic cross flow [J]. Appl. Opts., 1993, 32(36):7532-7545.[8]HANSON R K, SEITZMAN J M, PAUL P H. Application of quantitative two-line OH planar laser-induced fluorescence for temporally resolved planar thermometry in reacting flows [J]. Appl. Opts., 1994, 33(18): 4000-4012.[9]李云飞,司国良,郭永飞. 科学级CCD相机的噪声分析及处理技术[J]. 光学精密工程, 2005, 13(S1):158-163.LI Y F,SI G L,GUO Y F. Noise analyzing and processing for scientific grade CCD camera [J]. Opt. Precision Eng., 2005, 13(S1):158-163. (in Chinese)[10]董汉磊,徐力平,高颖敏,等.基于Bior小波变换和中值滤波的图像去噪[J]. 通信技术, 2009, 42(11):171-175.DONG H L, XU L P, GAO Y M, et al.. Image-denoising based on bior wavelet transform and median filter [J]. Communications Technology, 2009, 42(11):171-175.(in Chinese)[11]同武勤,凌永顺,黄超超,等. 数学形态学和小波变换的红外图像处理方法[J]. 光学精密工程,2007, 15(1):138-144.TONG W Q, LING Y SH, HUANG CH CH, et al.. Processing method of IR image based on mathematical morphology and wavelet transform [J]. Opt. Precision Eng., 2007, 15(1):138-144. （in Chinese）[12]VINCENT L. Morphological grayscale reconstruction in image analysis: applications and efficient algorithms [J]. IEEE Transactions on Image Processing, 1993, 2(2):176-201.[13]马继明,宋顾周,王群书,等.辐射图像脉冲噪声去除方法[J].应用物理,2010,1(2):211-216.MA J M, SONG G ZH, WANG Q SH, et al.. An impulse noise removing method for radiation image[J]. Applied Physics, 2010,1(2):211-216.(in Chinese)[14]胡延军,苗春卫,张笈. 含噪图像的处理方法与评价[J]. 宇航计测技术, 2005, 25(1):59-63.HU Y J, MIAO CH W, ZHANG J. The processing methods and estimate of noised image [J]. Journal of Astronautic Metrology and Measurement, 2005, 25(1):59-63.(in Chinese)[15]BUDES A, COLL B, MOREL J M. A review of image denoising algorithms with a new one [J]. Multiscale Model Simul, 2005, 4(2):490-530.

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