期刊文献+

基于图像分块的多尺度Harris特征点检测算法 被引量:5

Multi-scale Harris Algorithm for Feature Point Detection Based on Image Sub-block
在线阅读 下载PDF
导出
摘要 通过分析H arris特征点检测算法在应用中的不足,提出一种基于图像分块的多尺度H arris特征点检测算法,解决了特征点聚簇现象,检测出的特征点分布均匀.实验结果表明,该算法具有精确性、有效性和鲁棒性,为进一步图像特征点匹配工作提供了保证. Based on the shortcoming of Harris algorithm in application, a multi-scale Harris algorithm for the feature point detection based on image sub-block is proposed. It makes the detected feature points well-proportioned distributed without clusters. Experiments demonstrate that this algorithm has a good performance of accuracy,validity and robustness, which provides a guarantee for the further matching of feature points
出处 《内蒙古大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第3期326-329,共4页 Journal of Inner Mongolia University:Natural Science Edition
基金 教育部"春晖计划"资助项目(Z2007-1-01010)
关键词 特征点检测 HARRIS算法 多尺度 feature point detection Harris algorithm multi-scale
  • 相关文献

参考文献9

  • 1Goedeme T,Tuytelaars T,Van Gool L. Fast wide baseline matching for visual navigation [A]. Computer Vision and Pattern Recoginition [C]. Washington :IEEE, 2004.24-29.
  • 2Bittner J, Wimmer M,Piringer H. Coherent hierarchical culling: hardware occlusion queries made usetul [J ]. Computer Graphics Forum, 2004,23(3) : 615- 62.
  • 3Peter I Rockett. Performance assessment of feature detection algo-rithms:A methodology and case study on corner detectors [J]. IEEE Tans. Image Processing,2003,12(12):1668-1676.
  • 4Zitova B, Flusser J. Image registration methods : a survey [J]. Image and Vision Computing, 2003,21 : 977- 1000.
  • 5侯振杰 麻硕士 裴喜春 等.基于分形与神经网络的细胞识别方法研究(EI).化工自动化及仪表,2007,8:32-34.
  • 6陈乐,吕文阁,丁少华.角点检测技术研究进展[J].自动化技术与应用,2005,24(5):1-4. 被引量:45
  • 7赵文彬,张艳宁.角点检测技术综述[J].计算机应用研究,2006,23(10):17-19. 被引量:86
  • 8王玉珠,杨丹,张小洪.基于B样条的改进型Harris角点检测算法[J].计算机应用研究,2007,24(2):192-193. 被引量:22
  • 9王东峰,邹谋炎.基于最大化对齐度的多模态图像自动配准[J].电子与信息学报,2003,25(6):755-762. 被引量:37

二级参考文献75

  • 1钟宝江,廖文和.基于精化曲线累加弦长的角点检测技术[J].计算机辅助设计与图形学学报,2004,16(7):939-943. 被引量:23
  • 2邱卫国,昂海松.基于隶属度特征的曲线角点检测方法[J].重庆大学学报(自然科学版),2004,27(11):43-46. 被引量:4
  • 3费旭东,荆仁杰.基于知识的快速角点提取[J].计算机学报,1994,17(1):30-36. 被引量:6
  • 4戚飞虎,刘建峰.一种有效的不变性角点检测方法[J].上海交通大学学报,1995,29(6):112-116. 被引量:4
  • 5A.罗申菲尔特 A.C.卡克著 余英林等译.数字图像处理 第1,2章[M].北京,人民邮电出版社,1982..
  • 6M. Svedlow, C. D. McGillem, P. E. Anuta, Experimental examination of similarity measures and preprocessing methods used for image registration, Symposium on Machine Processing of Remotely Sensed Data, Purdue University, Indiana, June 1976, 4A-9.
  • 7P. A. Viola, W. M. Wells III, Alignment by maximization of mutual information, Proc. 5th Int.Conf. Computer Vision, Boston, MA, June, 1995, 16-23.
  • 8P. A. Viola, W. M. Wells III. Alignment by maximization of mutual information, International Journal of Computer Vision, 1997, 24(2), 137-154.
  • 9A. Collignon, F. Maes, D. Delaere, D. Vandermeulen, P. Suetens, G. Marchal, Automated multimodality image registration based on information theory, Proc. of the Information Processing in Medical Imaging Conference, Norwell, MA: Kluwer, 1995, 263-274.
  • 10Jsien P. W. Pluim, J. B. Antoine, Max A. Viergever, Image registration by maximization of combined mutual information and gradient information, IEEE Trans. on Medical Imaging, 2000,19(8), 809-814.

共引文献179

同被引文献41

引证文献5

二级引证文献14

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