基于超声红外热成像的缺陷检测与定位研究  

Defect Detection and Location of Based on Ultrasonic Infrared Thermal Imaging

作　　者：米浩 杨明[1] 于磊 安大伟[1] 赵夙 金家欣 雷华明[1] MI Hao;YANG Ming;YU Lei;AN Dawei;ZHAO Su;JIN Jiaxin;LEI Huaming(Department of Instrument Science and Engineering,Shanghai Jiao Tong University Shanghai,200240,China;Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences Ningbo,315201,China)

机构地区：[1]上海交通大学仪器科学与工程系,上海200240 [2]中国科学院宁波材料技术与工程研究所,宁波315201

出　　处：《振动．测试与诊断》2020年第1期101-106,205,206,共8页Journal of Vibration,Measurement & Diagnosis

基　　金：国家自然科学基金资助项目(81571831,51275287)

摘　　要：超声红外热成像以超声作为激励源,能够用于检测多种工件,但是由于热传导效应及空气的散射,检测结果中缺陷边缘较为模糊,成像对比度不高,并且会有温度分布不均引起的"散斑噪声"。为解决以上问题,提出了一种对超声红外热成像结果进行缺陷检测和定位的方法,使用限制对比度自适应直方图均衡(contrast limited adaptive histogram equalization,简称CLAHE)方法对图像进行对比度增强,用巴特沃斯滤波器进行降噪,根据图像的局部方差特征判断是否有缺陷,并通过形态学处理对缺陷中心进行定位。实验表明,根据局部方差可以对图像进行有效判断,经过形态学处理之后能够准确定位。该研究为通过超声红外热成像实现缺陷检测及定位提供了一种便捷有效的方法。On-destructive testing technology is widely used in the modern industry.Ultrasonic infrared thermal imaging uses ultrasonic as an excitation source and can be used to detect a variety of workpieces.However,the edge of the image is blurred and the contrast is not high,and there is also speckle noise due to thermal conduction effects and air scattering.In this paper,a method for defect detection and classification of ultrasonic infrared thermography is proposed to solve the above problems.First,the CLAHE(contrast limited adaptive histogram equalization)method is used to increase the contrast,and the Butterworth filter is used to reduce the noise.Then,the defects are detected according to the local variance of the image and their center is located by morphological processing.Experiments show that the efficiency and accuracy of the proposed method.This paper provides a convenient and productive method for defect detection and classification of ultrasonic infrared thermal imaging.

关 键 词：红外热成像 图像处理 缺陷检测 巴特沃斯滤波器 

分 类 号：TP391.5[自动化与计算机技术—计算机应用技术]