热电池X射线影像缺陷区域提取算法研究  

Research on Defect Area Extraction Algorithm of Thermobattery X-ray Image

作　　者：张国庆 赵涛[1] 张静[1] 梁俊威 邢学梦 Zhang Guoqing;Zhao Tao;Zhang Jing;Liang Junwei;Xing Xuemeng(Department of Mechanical Engineering,Zhonghuan School of Information,Tianjin University of Technology,Tianjin,300380)

机构地区：[1]天津理工大学中环信息学院机械工程系,天津300380

出　　处：《电子测试》2021年第14期51-52,共2页Electronic Test

基　　金：天津理工大学中环信息学院大学生创新创业训练计划资助项目“基于X射线影像的热电池装配缺陷检测系统开发(201913897008)”。

摘　　要：热电池广泛应用于军工领域的各种能源装置。热电池出现装配缺陷会使电池短路或者失效,对整个装置系统造成严重的影响。本文根据热电池结构特点,研究了模板提取、灰度增强、图像放大等一系列缺陷图像区域提取算法,为常见装配缺陷图像预处理提供了思路和方法。Thermal batteries are widely used in various energy devices in the field of military industry.The thermal battery assembly defect will cause the battery short circuit or failure,which will cause serious impact on the whole device system.In this paper,according to the characteristics of thermal cell structure,a series of defect image region extraction algorithms,such as template extraction,gray enhancement,image amplification,etc.,are studied,which provide ideas and methods for the preprocessing of common assembly defect images.

关 键 词：热电池 X射线影像 模板匹配 伽马校正 

分 类 号：TM915[电气工程—电力电子与电力传动] TP391.41[自动化与计算机技术—计算机应用技术]