首页 | 官方网站   微博 | 高级检索  
     

像增强器视场缺陷检测方法研究
引用本文:许正光,王霞,王吉晖,金伟其,白廷柱.像增强器视场缺陷检测方法研究[J].应用光学,2005,26(3):12-15.
作者姓名:许正光  王霞  王吉晖  金伟其  白廷柱
作者单位:北京理工大学,光电工程系,北京,100081
摘    要:在数字式像增强器性能综合检测系统的基础上,研究了像增强器视场缺陷的检测方法。通过数字视频摄像机采集缺陷图像,利用数字图像处理方法确定缺陷性质,缺陷处理算法基于图像灰度特征而不是边缘特征提取。该方法适用于对检测对象有具体量化和定位要求,而不是简单的只有数量和形状特征要求的场合。实验表明,该检测方法能够较准确地检测像增强器的缺陷。

关 键 词:像增强器  视场缺陷检测  区域标记  图像阈值化  小斑点去除
文章编号:1002-2082(2005)03-0012-04
收稿时间:2004/2/26

Research of an Approach to Detect Field Defects of Image Intensifier
XU Zheng-guang,WANG Xia,WANG Ji-hui,JIN Wei-qi,BAI Ting-zhu.Research of an Approach to Detect Field Defects of Image Intensifier[J].Journal of Applied Optics,2005,26(3):12-15.
Authors:XU Zheng-guang  WANG Xia  WANG Ji-hui  JIN Wei-qi  BAI Ting-zhu
Affiliation:Beijing Institute of Technology, Beijing 100081,China
Abstract:Based on the digital image intensifier performance all-around detection system,the detection method of image intensifier field defects is researched. After capturing a image with a defect, its property is known with digital imaging processing method. The field defect processing algorithm is based on the image gray feature extraction but not on the edge feature extraction. This algorithm is suitable to the objects which have quantitative and localized requirements. The experiment results show that this method can accurately detect field defects of the image intensifier.
Keywords:imagee intensifier  field defect detection  zone mark  image threshold  small spot removal  
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《应用光学》浏览原始摘要信息
点击此处可从《应用光学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号