红外技术Issue(9)：733-735,3.
自适应维纳滤波在钢水红外图像去噪中的应用
Adaptive Wiener Filtering Noise Reduction in the Molten Steel Infrared Image
摘要
Abstract
Based on the principle of radiation temperature measurement, this paper introduces the theory of infrared temperature measurement and adaptive wiener filtering processing method in order to improve the molten steel temperature measuring accuracy and reduce the infrared thermal image noise of molten steel processing. Having set up the experimental platform, we obtain the different temperature of molten steel in the infrared image, using adaptive wiener filtering for molten steel infrared image denoising processing. Before and after using the Matlab software simulation, and through the processing of infrared images of the mean square error and peak signal to noise ratio are compared, we find that steel infrared image noise has been suppressed and the method for the application of infrared temperature measurement in the molten steel temperature measuring has laid a solid foundation.关键词
红外测温/红外图像/热辐射/维纳滤波/MatlabKey words
infrared temperature/infrared image/thermal radiation/adaptive wiener filtering/Matlab分类
机械制造引用本文复制引用
杨友良,王新宇,马翠红..自适应维纳滤波在钢水红外图像去噪中的应用[J].红外技术,2015,(9):733-735,3.基金项目
国家自然科学基金项目，“熔融金属在线红外热像测温方法研究”，编号61171058。 （）
