期刊文献+

靶场光测图像小目标中轴线提取方法 被引量:1

Extraction Method of Small Target Axes in Optical Measurement Images of Shooting Range
下载PDF
导出
摘要 为高精度地提取靶场光测图像弹体小目标的中轴线,提出一种最优区域拟合的小目标中轴线提取方法。分析小目标成像的具体特点,通过迭代过程确定目标的最优描述区域,并由此解算小目标的中轴线方程。实验结果表明,该方法能够较好地适应靶场弹体小目标图像姿态判读需求,具有鲁棒性强、精度高等特点。 To get the axes of small target in images of shooting ranges precisely,a new method based on best fit region of target is proposed.The imaging characteristic of small target is analyzed,and an iteration process is designed to update the fit region of target continuously.Once the best fit region of target is obtained,moment method is used to calculate the axes of target in such region.As a result,the influence of interferer in image is reduced obviously.Experimental results show that this method is efficient and robust to noise,which can meet the requirement of small target 3D pose interpretation in shooting range.
出处 《计算机工程》 CAS CSCD 北大核心 2011年第9期6-8,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60904084)
关键词 光学测量 靶场图像 目标三维姿态 中轴线法 形状拟合 optical measurement image of shooting range target 3D pose axes method shape fitting
  • 相关文献

参考文献5

二级参考文献28

  • 1Kass M, Witkin A, Terzopoulos D. Snakes: Active Contour Models[J]. International Joumal of Computer Vision, 1988, 1(4): 321-331.
  • 2Boykov Y, Funka L G. Graph Cuts and Efficient N-D Image Segmentation[J]. International Journal of Computer Vision, 2006, 70(2): 109-131.
  • 3Rother C, Kolmogorov V, Blake A. Grab Cut: Interactive Foreground Extraction Using Iterated Graph Cuts[C]//Proc. of the 2004 SIGGRAPH Conference. Los Angeles, California, USA: [s. n], 2004: 309-314.
  • 4Kolmogorov V, Criminisi A, Blake A, et al. Bi-layer Segmentation of Binocular Stereo Video[C]//Proc. of IEEE Computer Society Conference of Computer Vision and Pattern Recognition. [S. l.]: IEEE Press, 2005: 1186-1193.
  • 5Juan O, Boykov Y. Active Graph Cuts[C]//Proc. of IEEE Computer Society Conference of Computer Vision and Pattern Recognition. [S. l.]: IEEE Press, 2006: 1023-1029.
  • 6Xu Ning, Ahuja N, Bansal R. Object Segmentation Using Graph Cuts Based Active Contours[J]. Computer Vision and Image Understanding, 2007, 107(3): 210-224.
  • 7Boykov Y, Jolly M E Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images[C]//Proc. of International Conference on Computer Vision. Vancouver, BC, Canada: [s. n.], 2001: 105-112.
  • 8吴健康 著.数字图像分析[M].北京:人民邮电出版社,1989..
  • 9马颂德,计算机视觉,1998年
  • 10CastlemanKR.Digital Image Processing(影印版)[M].北京:清华大学出版社,1998..

共引文献133

同被引文献9

引证文献1

二级引证文献3

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