基于结构相似性算法的微光夜视仪可靠性试验故障诊断  

Fault Diagnosis of Reliability Test for Low-Light-Level Vision Device Based on Structural Similarity Algorithm

作　　者：李永涛 何亚磊 巫风玲 LI Yongtao;HE Yalei;WU Fengling(Huayin Ordance Test Center of China,Weinan 714000,China)

机构地区：[1]中国华阴兵器试验中心,陕西渭南714000

出　　处：《红外技术》2021年第9期889-894,共6页Infrared Technology

基　　金：国防项目(目标背景光谱特性对XXXXXX识别效果影响研究,2019SY02B06001)。

摘　　要：本文针对目前直视型微光装备可靠性试验存在鉴定效率低、易发生漏检和缺乏有效记录手段的情况,提出了一种基于机器视觉的自动故障诊断方法。该方法通过设计系列专用转接环实现工业相机与被试装备的可靠连接,自动采集被试品目镜视场图像并实时传输监视图像;采用结构相似性(Structural SIMilarity,SSIM)算法实时计算监视图像与事先确定的正常模板图像相似度并自动进行异常检测警告、生成异常检测日志,实现故障诊断。实践表明,该方法与主观判断具有一致性,在环境照度条件稳定时,异常诊断准确度达到实际使用需求。At present,fault diagnosis in direct-view low-light-level photo-optical equipment is mainly conducted by manual detection,which is inefficient,error prone(faults will often be missed),and does not create a valid record.This paper proposes an automatic diagnostic method based on machine vision.In this method,a series of special adaptors are designed for developing a reliable connection between the industrial camera and the object to be tested,automatically collecting the images of the eyepiece field of view image of the tested product,and transmitting the monitoring image in real time.We used the Structural SIMilarity(SSIM)algorithm to calculate the similarity between the monitoring images and the template image in real time to automatically warn of abnormalities using a judgment threshold,which is determined in advance.When a failure occurs,the system issues an abnormal warning,generates a detection log,and stores the current monitoring images.Practice shows consistency of the results of our method with those of subjective judgment.Under stable illumination conditions,the accuracy of the diagnostic technique meets the actual requirements.

关 键 词：可靠性试验 直视型微光装备 故障诊断 结构相似性 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]