噪声对红外测温性能的影响研究
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摘要
为了提高红外热像仪的测温性能,以黑体辐射图像为基准,研究了噪声对红外热像仪测温的影响。首先,分析了室内背景下红外图像中噪声的来源和组成,主要包括高斯噪声和椒盐噪声。接着,建立了红外测温实验系统,获取标定时的黑体辐射图像和实际测温图像。然后,对黑体图像采用人工加噪的方法,研究不同噪声参数和传统降噪方法处理后对测温性能的影响,得到了不同噪声参数及降噪方法对测温性能的影响规律,在传统降噪方法的基础上提出了改进均值法并进行实验验证。最后,将改进均值法应用到室内实际测温的图像上。实验结果表明,改进均值法处理后,温度均方差减小为0.32,测温误差减少了1.69℃。效果优于传统降噪方法,改善了红外测温性能。
In order to improve the temperature measurement performance of an infrared thermal imager, the effect of noise on the temperature measurement was studied based on a blackbody radiation image. First, the source and composition of noise in the infrared image with an indoor background are analyzed, including Gaussian noise as well as salt and pepper noise. Then, an infrared temperature measurement experiment system was constructed to obtain the blackbody radiation image at the time of calibration along with the actual temperature measurement image. Subsequently, noise was manually added to the blackbody image to study the effect of different noise parameters and traditional noise reduction methods on the temperature measurement performance and to obtain the relationships between them. Based on the traditional denoising method, an improved mean method was proposed and verified experimentally. Finally, the improved mean method was applied to actual temperature measurement in the room. The experimental results show that after applying the improved mean method, the mean squared error of the temperature reduced to 0.32, and the temperature measurement error reduced by 1.69℃. The mean method is thus better than the traditional noise reduction methods and improves the infrared temperature measurement performance.
In order to improve the temperature measurement performance of an infrared thermal imager, the effect of noise on the temperature measurement was studied based on a blackbody radiation image. First, the source and composition of noise in the infrared image with an indoor background are analyzed, including Gaussian noise as well as salt and pepper noise. Then, an infrared temperature measurement experiment system was constructed to obtain the blackbody radiation image at the time of calibration along with the actual temperature measurement image. Subsequently, noise was manually added to the blackbody image to study the effect of different noise parameters and traditional noise reduction methods on the temperature measurement performance and to obtain the relationships between them. Based on the traditional denoising method, an improved mean method was proposed and verified experimentally. Finally, the improved mean method was applied to actual temperature measurement in the room. The experimental results show that after applying the improved mean method, the mean squared error of the temperature reduced to 0.32, and the temperature measurement error reduced by 1.69℃. The mean method is thus better than the traditional noise reduction methods and improves the infrared temperature measurement performance.
引文
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[2]陈芳林,张宝辉,汪贵华,等.改进的神经网络非均匀性校正算法研究[J].科学技术与工程,2016,16(33):215-220.CHEN F L,ZHANG B H,WANG G H,et al.Improved neural network non-uniformity correction algorithm[J].Science Technology and Engineering,2016,16(33):215-220.
[3]赵文达,续志军,赵建,等.基于梯度直方图变换增强红外图像的细节[J].光学精密工程,2014,22(7):1962-1968.ZHAO W D,XU Z J,ZHAO J,et al.Enhancement of infrared image details based on gradient histogram transform[J].Opt.Precision Eng.,2014,22(7):1962-1968.
[4]Pace T,Manville D,Lee H,et al.A multiresolution approach to image enhancement via histogram shaping and adaptive Wiener filtering[C]//Visual Information Processing XVII,2008,6978:1-11.
[5]李云红,孙晓刚,原桂彬.红外热像仪精确测温技术[J].光学精密工程,2007,15(9):1336-1341.LI Y H,SUN X G,YUAN G B.Accurate measuring temperature with infrared thermal imager[J].Opt.Precision Eng.,2007,15(9):1336-1341.
[6]陆子凤,潘玉龙,王学进,等.目标到测试系统距离对红外测温精度的影响[J].红外技术,2008,30(5):271-274.LU Z F,PAN Y L,WANG X J,et al.Influence of object-system distance on accuracy of temperature measurement with IR system[J].Infrared Technology,2008,30(5):271-274.
[7]ZHANG Y C,CHEN Y M,FU X B,et al.A method for reducing the influence of measuring distance on infrared thermal imager temperature measurement accuracy[J].Applied Thermal Engineering,2016,100:1095-1101.
[8]廖盼盼,张佳民.红外测温精度的影响因素及补偿方法的研究[J].红外技术,2017,39(2):173-177.LIAO P P,ZHANG J M.Research on influence factors for measuring and method of correction in infrared thermometer[J].Infrared Technology,2017,39(2):173-177.
[9]郭立红,郭汉洲,杨词银,等.利用大气修正因子提高目标红外辐射特性测量精度[J].光学精密工程,2016,24(8):1871-1877.GUO L H,GUO H Z,YANG C Y,et al.Using atmospheric correction factors to improve the measurement accuracy of target infrared radiation characteristics[J].Opt.Precision Eng.,2016,24(8):1871-1877.
[10]晏敏,彭楚武,颜永红,等.红外测温原理及误差分析[J].湖南大学学报,2004,31(5):110-112.YAN M,PENG C W,YAN Y H,et al.Principle and error analysis of infrared temperature measurement[J].Journal of Hunan University,2004,31(5):110-112.
[11]吴军辉,郜竹香,张玉竹.红外成像系统图像空间噪声分析与估计[J].红外技术,2001,23(3):19-22.WU J H,GAO Z X,ZHANG Y Z.Analysis and estimation of image spatial noise in infrared imaging system[J].Infrared Technology,2001,23(3):19-22.
[12]邹前进,冯亮,汪亚.红外图像空间噪声分析和预处理方法改进[J].应用光学,2007,28(4):426-430.ZOU Q J,FENG L,WANG Y.Infrared image spatial noise analysis and improvement of preprocessing method[J].Applied Optics,2007,28(4):426-430.
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