期刊文献+

一种改进的快速角点检测方法研究 被引量:9

Study on advanced rapid corner detection method
下载PDF
导出
摘要 传统的Harris角点检测算法检测率和可重复率高,但无法满足实时性要求,而Trajkovic等提出的角点检测器虽然计算量小,但是易对边缘产生伪响应,针对这些问题,提出一种新的基于Harris的快速角点检测算法。该算法使用多格算法,并使用四个基础方向上最小强度变化作为预处理结果,再使用自相关矩阵得到角点的响应函数。实验结果表明,新算法改进了Harris算法和MIC算法,能够有效地抑制边缘响应及纹理角点,并且能够满足实时性要求。 Conventional Harris comer detector is a desirable detector in terms of detection and repeatability rate,but it can not satisfy the demands of the realtime applications.MIC comer detector requires small computation time,however it responde too readily to certain diagonal edges.For this reason, the paper proposes a new comer detection algorithm.The new comer detection algorithm adopts multigrid algorithm, uses minimum of the intensity change of the four principle directions as the result of the preprocessing,and uses the autocorrelation matrix to get the comer response function.The experimental results indicate that the new algorithm improves Harris and MIC algorithm, can eliminate edge response and texture comers and satisfy the demands of real-time applications.
出处 《计算机工程与应用》 CSCD 北大核心 2011年第12期159-161,164,共4页 Computer Engineering and Applications
关键词 角点检测 HARRIS算法 最小亮度变化(MIC)算法 多格算法 comer detection Harris algorithm Minimum Change of the Intensity(MIC) algorithm multigrid algorithm
  • 相关文献

参考文献10

  • 1Donovan Parks and Jean-Philippe Gravel.Comer detectors[EB/OL].http://www.cim.mcgill.ca/~dparks/CornerDetector/index.html. 被引量:1
  • 2Moravec H P.Towards automatic visual obstacle avoidance[C]//Proceedings of the 5th International Joint Conference on Artificial Intelligence.Cambrige,USA:MIT Press,1977. 被引量:1
  • 3Harris C,Stephens M.A combined corner and edge detector[C]//Proceedings of the 4th Alvey Vision Conference.Manchester,UK:University of Manchester,1988:147-151. 被引量:1
  • 4Smith S M,Brady I M.Susan:A new approach to low-level image processing[J].International Journal of Computer Vision,1997,23:45-78. 被引量:1
  • 5Trajkovic M,Hedley M.Fast corner dstaction[J].Image and Vision Computing,1988,16:75-87. 被引量:1
  • 6Mikolajczyk K,Schmid C.Scale and affine invariant interest point detector[J].International Journal of Computer Vision,2004,60(1):63-86. 被引量:1
  • 7Gevrekci M,Gunturk B K.Reliable interest point detection under large illumination variations[C]//IEEE International Conference on Image Processing,ICIP,2008:869-872. 被引量:1
  • 8Faille F.Adapting interest point detection to illumination condition[C]//Proc 7th Digital Image Computing,Sydney,2003:499-508. 被引量:1
  • 9孙达,唐降龙,刘家锋,黄剑华.基于概率密度的兴趣点检测算法[J].自动化学报,2008,34(8):854-860. 被引量:8
  • 10赵万金,龚声蓉,刘纯平,沈项军.一种自适应的Harris角点检测算法[J].计算机工程,2008,34(10):212-214. 被引量:82

二级参考文献22

  • 1张登荣,刘辅兵,俞乐,蔡志刚,邓超.基于Harris算子的遥感影像自适应特征提取方法[J].国土资源遥感,2006,18(2):35-38. 被引量:15
  • 2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:84
  • 3Quddus A,Fahmy M M.An Improved Wavele Based Comer Detection Technique[C]//Proceedings of IEEE International Conference on Acoustics,Speech and Signal Processing.Phoenix,USA:[s.n.],1999. 被引量:1
  • 4Harris C G,Stephens M J.A Combined Comer and Edge Detector[C]//Proceedings of the 4th Alvey Vision Conference.Manchester,England:[s.n.],1988. 被引量:1
  • 5Moravec H P.Towards Automatic Visual Obstacle Avoidance[C]//Proceedings of International Joint Conference on Artificial Intelligence.Cambridge,MA,USA:William Kanfmann,1977. 被引量:1
  • 6Stephen M,Michael J.A New Approach to Low-level Image Processing[J].International Journal of Computer Vision,1997,23(1):45-78. 被引量:1
  • 7Schmid C,Mohr R,Banckhage C.Evaluation of Interesting Point Detectors[J].International Journal of Computer Vision,2000,37(2):151-172. 被引量:1
  • 8Harris C, Stephens M. A combined corner and edge detector. In: Proceedings of the 4th Alvey Vision Conference. Manchester, UK: University of Manchester, 1988. 147-151 被引量:1
  • 9Moravec H P. Towards automatic visual obstacle avoidance. In: Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, USA: MIT Press, 1977. 584 被引量:1
  • 10Mikolajczyk K, Schmid C. Scale and affine invariant interest point detectors. International. Journal of Computer Vision, 2004, 60(1): 63-86 被引量:1

共引文献87

同被引文献83

引证文献9

二级引证文献23

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