摘要
压敏漆(PSP)图像测量在风洞模型表面压力测量中发挥着重要作用,测量图像的信号质量直接关系到模型表面压力测量精度。针对现有PSP图像测量降噪方法所存在的信噪比低的问题,本文提出双核高斯滤波算法,分别在图像值域、空域构建高斯核滤波器,在滤除PSP图像噪声的同时,保护了PSP图像细节,避免了现有PSP去噪算法引起的图像模糊问题,提升了测量图像信噪比。对二元翼型的风洞试验PSP图像进行处理,去噪效果优于中值滤波、均值滤波和高斯滤波算法。
Pressure sensitive paint (PSP) image measurement plays an important role in wind tunnel model surface pressure measurement.The signal quality of the measurement image is directly related to the model surface pressure measurement accuracy.Aiming at the problem of low signal-to-noise ratio in the existing PSP image measurement noise reduction methods,this paper proposes a dual core Gaussian filtering algorithm,which constructs Gaussian core filters in the image value domain and spatial domain respectively.While filtering the PSP image noise,it protects the details of the PSP image,avoids the image blur caused by the existing PSP denoising algorithm,and improves the signal-to-noise ratio of the measured image.For the wind tunnel test PSP image of binary airfoil,the denoising effect is better than median filter,mean filter and Gaussian filter.
作者
张文清
肖厚元
王众
王平
王斌
Zhang Wenqing;Xiao Houyuan;Wang Zhong;Wang Ping;Wang Bin(China Aerodynamics Research and Development Center,Mianyang Sichuan,621000)
出处
《电子测试》
2022年第1期39-42,共4页
Electronic Test
基金
国家自然科学基金“结冰生长过程3D冰形在线测量(11602292)”
基于计算摄影的真彩高清彩色夜视成像方法研究(61801479)。
关键词
压敏漆
图像降噪
高斯核
光强比
pressure sensitive paint
image denoise
gaussian core
light intensity ratio
