基于模糊滤波器的钢水红外图像混合噪声处理

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英文篇名：Fuzzy Filter-based Mixed Noise Processing for Molten Steel Infrared Image 作者：顾雅青 ; 葛宾 ; 高晨 英文作者：GU Yaqing;GE Bin;GAO Chen;Shandong Huayu University of Technology;Dezhou university; 关键词：红外测温 ; 红外热图像 ; 模糊滤波 ; Matlab 英文关键词：infrared temperature;;thermal radiation;;adaptive wiener filtering;;Matlab 中文刊名：HWJS 英文刊名：Infrared Technology 机构：山东华宇工学院;德州学院; 出版日期：2019-07-18 15:08 出版单位：红外技术 年：2019 期：v.41;No.319 基金：山东省级教改科研项目(C2016M077) 语种：中文; 页：HWJS201907005 页数：5 CN：07 ISSN：53-1053/TN 分类号：32-36

摘要

针对钢水红外热图像存在各种噪声造成最后的钢水温度测量精度低的问题,本文提出基于模糊滤波的混合噪声处理方法。该方法通过对模糊滤波器的设计以及隶属函数的训练,可以有效地对由加性高斯噪声与非加性脉冲噪声组成的混合噪声进行处理,提高钢水红外热图像的均方差和峰值信噪比。并通过搭建实验平台,利用基于模糊滤波器的混合噪声处理方法对不同温度下的钢水红外图像进行噪声处理。此外基于红外热图像灰度值与温度之间的关系,对去噪前后的钢水红外热图像对应的温度进行分析,并与热电偶测量的实时钢水温度进行对比,验证所提方法对提高测量钢水温度准确度的有效性。
        In view of the problem of low accuracy faced during the final measurement of temperature of molten steel due to generation of various types of noises in the infrared thermal images, a hybrid noise processing method based on fuzzy filtering is proposed. By processing additive Gaussian noise and non-additive impulse noise, the mean square deviation and peak signal-to-noise ratio of infrared thermal images can be improved.The mixed noise processing method based on fuzzy filter is used to process the infrared images of molten steel acquired at different temperatures. In addition, the temperature data processing of infrared thermal image of molten steel in the experiment is performed on the basis of the relationship between the gray values of the image and the measured temperature. Compared to the real-time temperature of molten steel, the effectiveness of the proposed method is demonstrated on an experimental platform.

引文

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