期刊文献+

图像目标识别中的分层检索模型

Delamination Retrieval Model in Image Object Recognition
原文传递
导出
摘要 形状特征是武器装备目标识别的关键因素。针对归一化后轴夹角的特点和小波描述子多尺度描述轮廓曲线的特性,提出一种R树索引的分层检索技术模型,在模型库空间逐级过滤出与目标相似的模板,以保证检索的效率和准确性,并通过对军用车辆的检索实验验证了模型的有效性。 The shape features of military weapons & equipment are the most important key factors of image object recognition. Aiming at the characteristics of the contour-curve′s normalized rear-axes-angle and multi-scale description of the Wavelet Descriptor, this paper proposes a delaminating image retrieval model by using R-tree index, which hierarchically filter the similar templates with the object pattern via the multi-resolution description techniques of the contour to ensure the system′s efficiency and precisi...
作者 张惠民 王仲
出处 《装甲兵工程学院学报》 2008年第2期63-66,87,共5页 Journal of Academy of Armored Force Engineering
基金 教育部高等院校青年骨干教师资助基金项目(2001JC12)
关键词 轴夹角 R树 Wavelet描述子 图像检索 axes-angle R-tree Wavelet Descriptor image retrieval
  • 相关文献

参考文献2

二级参考文献8

  • 1A Guttman. R-tree: A dynamic index structure for spatial search[A]. In: Proceedings of Annual Meeting on SIG on Management of Data. Boston, Massachusetts, 1984. 47~57
  • 2Y Theodoridis, T Sellis. On the performance analysis of multi-dimensional R-tree-based data structures[R], Greece: National Technical University of Athens, 1995
  • 3Rsv October. Spatial access methods: RSV[OL]. citeseer.nj.nec.com/rigaux99spatial.html.2001
  • 4BerndUwe Pagel. Towards a analysis of range query performance in spatial data structure[OL]. http://www.citeseer.nj.nec.com. 2001
  • 5G Proietti, C Faloutsos. Accurate modeling of region data[R]. Pittsburgh: Carnegie Mellon University, 1998
  • 6Yannis Theodoridis, Timos Sellis. A model for the prediction of R-tree performance[A]. In: Proceedings of the 15th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Montreal, 1996. 105~127
  • 7姚玉荣,章毓晋.利用小波和矩进行基于形状的图象检索[J].中国图象图形学报(A辑),2000,5(3):206-210. 被引量:67
  • 8庄越挺,刘骏伟,吴飞,潘云鹤,张引.基于支持向量机的视频字幕自动定位与提取[J].计算机辅助设计与图形学学报,2002,14(8):750-753. 被引量:38

共引文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部