首页 | 本学科首页   官方微博 | 高级检索  
     

基于子图像特征的目标提取方法
引用本文:单丽杰.基于子图像特征的目标提取方法[J].红外与激光工程,2004,33(6):597-599,614.
作者姓名:单丽杰
作者单位:中国科学院,沈阳自动化研究所,辽宁,沈阳,110016
基金项目:国家创新基金资助项目(CX02 04 02)
摘    要:针对特定目标提出一种新的基于子图像块的目标提取方法。先对图像分块,再对分块后的特征图重新构建特征量并进行阚值分割,从而实现粗检,辅以知识确定目标的大概区域,最后借助边缘特性提取出精确目标。试验结果表明,该方法计算量较小、便于硬件实现,对于复杂自然背景中对比度低及不均匀光照条件下的一定形状尺寸的目标提取获得满意效果。

关 键 词:目标提取  子图像块  类间方差法  Canny边缘检测
文章编号:1007-2276(2004)06-0597-03
收稿时间:2003/12/1

Target extraction method based on sub-block feature
SHAN Li-jie.Target extraction method based on sub-block feature[J].Infrared and Laser Engineering,2004,33(6):597-599,614.
Authors:SHAN Li-jie
Abstract:A target extraction method based on sub-block features is presented to detect certain target. The new feature vector is constructed through computing sub-block features. The feature′s threshold is decided based on Ostu principle to complete the object′s coarse detection. The accurate targe location is obtained by edge detection in this object region finally. The experimental result shows that this method is good at extracting targets with some certain shape and size from complex natural scenes under low contrast and varied illumination conditions. It′s low counting cost and easy for hardware realization.
Keywords:Object extraction  Sub-block  Ostu method  Canny edge detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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