首页 | 官方网站   微博 | 高级检索  
     

矩不变量在目标形状识别中的应用研究
引用本文:颜孙震,孙即祥,王晓华,钟山.矩不变量在目标形状识别中的应用研究[J].国防科技大学学报,1998,20(5):75-80.
作者姓名:颜孙震  孙即祥  王晓华  钟山
作者单位:国防科技大学电子技术系
摘    要:本文提出了图像分割的一种新的算法,简单实用。实验表明,它优于经典的最大方差准则门限法和最大熵分割法。本文利用中心矩构成仿射不变量,作为目标的特征。本文提出了利用上述各特征的一种数据融合算法。实验表明,利用该算法进行识别时正确率高,且所用时间短,效果好。本文所提供的方法在对18类目标138幅图像进行识别时总识别正确率高于85%。

关 键 词:识别模式,仿射变换,矩不变量(momentinvariants),图像分割,信息融合
收稿时间:3/3/1998 12:00:00 AM

The Research and Application of Moment Invariants in Object Shape Recognition
Yan Sunzhen,Sun Jixiang,Wang Xiaohua and Zhong Shan.The Research and Application of Moment Invariants in Object Shape Recognition[J].Journal of National University of Defense Technology,1998,20(5):75-80.
Authors:Yan Sunzhen  Sun Jixiang  Wang Xiaohua and Zhong Shan
Affiliation:Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073
Abstract:This paper first presented a novel and simple method of image segmentation.Experiments illustrates that this method is more effective than some traditional methods,such as maximum square error threshold method and mazimum entropy threshold method.In the algorithm of object recognition,we construct object's characters based on four affine monent invariants. Furthermore, we proposed a data fusion algorithm based on the above characters.The performance of the proposed technique in the recognition experiments of 138 pieces of image,which gained from 18 kinds of objects,is also involved.The experiment result is satisfactory,which the correct ratio of object recognition is above 85%.
Keywords:pattern recognition  affine transformations  moment invariants  image segmentation  information fuse  
本文献已被 CNKI 等数据库收录!
点击此处可从《国防科技大学学报》浏览原始摘要信息
点击此处可从《国防科技大学学报》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