基于模糊滤波器的钢水红外图像混合噪声处理

顾雅青; 葛宾; 高晨

红外技术, 2019, 41 (7): 623, 网络出版: 2019-08-13

基于模糊滤波器的钢水红外图像混合噪声处理

Fuzzy Filter-based Mixed Noise Processing for Molten Steel Infrared Image

论文大纲

顾雅青 ^1,*葛宾 ¹高晨 ²

作者单位

¹ 山东华宇工学院，山东德州 253034

² 德州学院，山东德州 253023

红外测温红外热图像模糊滤波 infrared temperature，thermal radiation，adaptive Matlab

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。

Abstract

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.

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顾雅青, 葛宾, 高晨. 基于模糊滤波器的钢水红外图像混合噪声处理[J]. 红外技术, 2019, 41(7): 623. GU Yaqing, GE Bin, GAO Chen. Fuzzy Filter-based Mixed Noise Processing for Molten Steel Infrared Image[J]. Infrared Technology, 2019, 41(7): 623.

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