利用图像预处理提高一氧化氮标记测速亚像素精度的参数化研究

IF 1.5 Q3 ENGINEERING, CHEMICAL
R. Vedula, Mayank K. Mittal, H. Schock
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引用次数: 1

摘要

双乙酰基磷光是一种常用的分子标记速度测定(MTV)技术,用于研究光学发动机的缸内流动演变和循环间变化。由于双乙酰基示踪剂的磷光在氧气的存在下会变差,所以过去采用氮气作为工作介质。近年来,一氧化二氮MTV技术被用于测量喷气机的速度分布。作者在此计划探讨该技术在发动机流动研究中的潜在应用。一个可能的实验设置表明,不同的排列图像信噪比(SNR)和激光线宽。本文对这两个因素对MTV图像处理中位移误差的影响进行了数值分析。此外,还对几种图像滤波技术进行了评价,并从提高图像质量和减小位移误差的角度分析了所选滤波器的性能。未经图像预处理的流量位移误差与信噪比成反比,与激光线宽成正比。当线宽小于9像素时,平均滤波器产生的误差最小。滤波尺寸对亚像素精度的影响表明,误差水平随着滤波尺寸的增大而增大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parametric Study to Improve Subpixel Accuracy of Nitric Oxide Tagging Velocimetry with Image Preprocessing
Biacetyl phosphorescence has been the commonly used molecular tagging velocimetry (MTV) technique to investigate in-cylinder flow evolution and cycle-to-cycle variations in an optical engine. As the phosphorescence of biacetyl tracer deteriorates in the presence of oxygen, nitrogen was adopted as the working medium in the past. Recently, nitrous oxide MTV technique was employed to measure the velocity profile of an air jet. The authors here plan to investigate the potential application of this technique for engine flow studies. A possible experimental setup for this task indicated different permutations of image signal-to-noise ratio (SNR) and laser line width. In the current work, a numerical analysis is performed to study the effect of these two factors on displacement error in MTV image processing. Also, several image filtering techniques were evaluated and the performance of selected filters was analyzed in terms of enhancing the image quality and minimizing displacement errors. The flow displacement error without image preprocessing was observed to be inversely proportional to SNR and directly proportional to laser line width. The mean filter resulted in the smallest errors for line widths smaller than 9 pixels. The effect of filter size on subpixel accuracy showed that error levels increased as the filter size increased.
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来源期刊
Journal of Combustion
Journal of Combustion ENGINEERING, CHEMICAL-
CiteScore
2.00
自引率
28.60%
发文量
8
审稿时长
20 weeks
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