期刊文献+

GVF Snake模型时间复杂度的研究 被引量:3

Research of Time about GVF Snake Model
下载PDF
导出
摘要 对使用GVF Snake动态轮廓模型算法中两次迭代的时间复杂度进行了统计计算,并进行了力场分析,在此基础上对初始轮廓线设定位置进行了研究。实验结果表明,初始轮廓线的设置应避免跨越能量极小值,此时可以得到比较好的提取效果。GVF力场迭代的次数和轮廓逼近次数与时间成正比。 In the paper,the one hand,the statistics of the GVF Snake Active Contour Model about the two iterations are given.The other hand,through the analysis of the GVF field of forces,the research of the position about the initial edge is completed.The experimentation proves that the position of the initial edge should avoid acrossing the fields between the minimum of the energy,so that a better effect of edge-detection can be given.The more times about the production of GVF fieht of forces and the detection of the edge posited,the more time spent.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第35期33-36,共4页 Computer Engineering and Applications
基金 山东省自然科学基金资助项目(Y2003G01)。
关键词 SNAKE模型 梯度矢量流 轮廓提取 有效逼近域 snake model edge-detection GVF efficient detected field
  • 相关文献

参考文献11

  • 1KASS M,WITKIN A,TERZOPOULS D.Snake:active contour models[J].Proceeding of International Journal of Computer Vision,1987,1 (4):321-331.
  • 2周继鹏,耿国华,周明全.一种新的动态轮廓模型[J].计算机研究与发展,1998,35(8):734-738. 被引量:14
  • 3COHEN L D.Note:on active contour models and balloons[J].CVGIP:Image Understanding,1991,53 (2):211-218.
  • 4WILLIAMS D J,SHAH M.A fast algorithm for active contours and curvature estimation[J].CVGIP:Image Understanding,1992,55 (1):14-26.
  • 5COHEN L D,COHEN I.Finite-element methods for active contour models and balloons for 2D and 3D images[J].IEEE Trans Pattern Anal Intell,1993,15 (11):1131-1147.
  • 6EVIATAR H,SOMORJAI R L.A fast,simple contour algorithm for biomedical images[J].Pattern Recognition Letters,1996,17:969-974.
  • 7XU C,PRINCE J L.Gradient vector flow:a new external forces for snakes[J].Proceeding of IEEE International Conference on CVPR,1997,6:66-71.
  • 8黄志彦,曹春红,徐剑.基于小波多尺度分析与GVF Snake的空中目标提取[J].电光与控制,2002,9(4):32-35. 被引量:11
  • 9王洪剑,孙志宏,彭思龙.基于GVF的骨架snake模型[J].计算机应用,2004,24(9):1-3. 被引量:3
  • 10陈雷,于明,罗永兴,周宇翔.基于小波相位保持校正GVFsnake模型的B超心脏边缘提取[J].信号处理,2004,20(6):582-585. 被引量:1

二级参考文献28

  • 1章毓晋.图像分割[M].北京:科学出版社,2001.34.
  • 2Xu G,Pattern Recognit,1994年,27卷,7期,879页
  • 3Kass M, Witkin A, Terzopoulos D. Snakes: Active contour models [J]. International Journal of Computer Vision, 1987, 1(4): 321-331.
  • 4Terzopoulos D, Fleischer K. Deformable models[J]. The Visual Computer, 1988, 4(6): 306-331.
  • 5McInerney T, Terzopoulos D. A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis [J]. Computerized Medical Imaging and Graphics, 1995, 19(1): 69-83.
  • 6Leymarie F, Levine MD. Tracking deformable objects in the plane using an active contour model [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(6): 617-634.
  • 7Durikovic R, Kaneda K, Yamashita H. Dynamic contour: a texture approach and contour operations [J]. The Visual Computer, 1995, 11(6):277-289.
  • 8Terzopoulos, Szeliski R. Tracking with Kalman snakes[A]. Artificial Intelligence Series[C]. The MIT Press, 1992.3-20.
  • 9Caselles V, Catte F, Coll T, et al. A geometric model for active contour in image processing[J]. Numerische mathematik, 1993, 66(1): 1-31.
  • 10Malladi R, Sethian JA, Vemuri BC. Shape, modeling with front propagation: A level set approach [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(2): 158-175.

共引文献23

同被引文献22

  • 1王长军,朱善安.基于统计模型和GVF-Snake的彩色目标检测与跟踪[J].中国图象图形学报,2006,11(1):13-18. 被引量:6
  • 2Kass M, Witkin A,Terzopoulos D.Snakes :active contour models[J]. International Journal of Computer Vision, 1988,1(4):321-331.
  • 3Xu C,Prince J L.Gradient vector flow:a new external force for snakes[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition,1997 :66-71.
  • 4Greig D,Porteous B,Seheult A.Exact maximum a posteriori estimation for binary images[J].Journal of the Royal Statistical Society: Series B, 1989,51 (2) : 271-279.
  • 5Boykov Y,Funka-Lea G.G.raph cuts and efficient N-D image segmentation[J].International Journal of Computer Vision,2006,70(2): 109-131.
  • 6Xu N,Ahuja N,Bansal R.Object segmentation using graph cuts based active contours[J].Computer Vision and Image Understanding, 2007,107(3 ) : 210-224.
  • 7章毓晋.图像工程(中册)(第二版)[M].北京:清华大学出版社,73-75.
  • 8Cheng - Hung Chuang and Wen - Nung Lie, A Downstream Algorithm Based on Extended Gradient Vector Flow Field for Object Segmentation[J]. IEEE Transactions On Image Processing, October 2004,13(10).
  • 9C Xu, J L Prince. Snakes, shapes and gradient vector flow[J]. IEEE Trans. on hnage Processing, 1998,7 (3) :359 - 366.
  • 10W F Ames. Numerical Methods for Partial Differential Equations, 3rded[M]. New York: Academic, 1992.

引证文献3

二级引证文献4

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