期刊文献+

基于EM算法和小波多尺度边缘检测的活动轮廓模型初始化 被引量:2

AC MODEL INITIALIZATION USING EM ALGORITHM AND WAVELET MULTI-SCALE EDGE DETECTION
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摘要 本文研究了活动轮廓模型初始化的问题.利用EM算法和小波多尺度边缘检测的方法,获得了活动轮廓模型的外部能量函数和初始曲线,并对于具体的X射线图像给出了实验结果和该算法的有效性. This paper considers the initialization problem of active contour model.By using EM algorithm and wavelet multiscale edge detection,we get the external energy function and the initial curve of active contour model.The paper also showed the experimental results for X-ray image and the effectiveness of method.
出处 《数学杂志》 CSCD 北大核心 2012年第5期943-950,共8页 Journal of Mathematics
关键词 活动轮廓模型 小波多尺度边缘检测 EM算法 active contour model wavelet multiscale edge detection EM algorithm
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参考文献18

  • 1Kass M, Witkin A, Terzopouls D. Snake: active contour models[J]. Proceeding of International Journal of Computer Vision, 1988, 1(4): 321-331.
  • 2Terzopoulos D, Fleischer K. Deformable models[J]. Visual Computer, 1988, 4(6): 306-331.
  • 3Leymarie F, Levine M D. Tracking deformable objects in the plane using an active contour model[J]. IEEE Trunsl. PAMI, 1993, 15(6): 617-634.
  • 4Terzopoulos D, Szeliski R. Tracking with Kalman snakes[A]. Artificial Intelligence, USA: MIT Press, 1992.
  • 5Xu C, Prince J. Generalized gradient vector flow external forces for active contours[J]. Signal Pro- cessing, 1998, 71(2): 131-139.
  • 6Xu C, Prince J. Snakes, shapes, and gradient vector flow[J]. IEEE Transl. Images Processing, 1998, 7(3): 359-369.
  • 7Li Bing, Scott T Acton. Automatic active model initialization via poisson inverse gradient[J]. Ieee Transactions Image Processing, 2008, 17(8): 1406-1420.
  • 8Bing Li, Scott T Acton . Active contour external force using vector field convolution for image segmentation[J]. Ieee Transactions Image Processing, 2007, 16(8): 2096-2106.
  • 9Cheng Jinyong, Liu Yihui, Jia Ruixiang, Guo Weiyu. A new active contour model for medical image analysis-wavelet vector flow[J]. Iaeng Inter. J. Appl. Math., 2007, 36(2): 33-37.
  • 10Mohamed AIi Mahjoub, Karim Kalti. Image segmentation by adaptive distance based on EM algo- rithm[J]. International J. of Adv. Computer Science and Appl., 2011, special issue: 19-25.

同被引文献19

  • 1CHAN T, VESE L. Active contours without edges[J]. IEEE Trans. Image Proc, 2001, 10(2): 266- 277.
  • 2Vese L A, Chan T F. A multiphase level set framework for image segmentation using the Mumford and Shah model [J]. Intern. J. Comp. Vis., 2002, 50 (3): 271- 293.
  • 3Wang L, Li C, Sun Q, Xia D, Kao C Y. Active contours driven by local and globalintensity fitting energy with application to brain MR image segmentation[J]. Comput. Med. Imag. Graph., 2013, 33: 520-531.
  • 4Zheng Q, Lu Z, Yang W. A robust medical image segmentation method using KL distance and local neighborhood information[J]. Comput. Biol. Med., 2013, 43: 459-470.
  • 5Zhang K H, Song H H, Zhang L. Active contours driven by local image fittingenergy[J]. Pattern Recognit 2010, 4 (43): 1199-1206.
  • 6Liu S, Peng Y. A local region-based Chan-Vese model for image segmentation[J]. Pattern Recognit, 2012, 45: 2769-2779.
  • 7Ooi W S, Lim C P. Multi-objective image segmentation with an interactive evolutionary computa- tion approach[J]. J. Intel. & Fuzzy Sys., 2013, 24(1): 239-249.
  • 8CHAN T, VESE L. Active contours without edges[J]. IEEE Trans. Image Proc., 2001, 10(2): 266-- 277.
  • 9Vese L, Chan T. A nmltiphase level set franmwork for image segmentation using the Mumford and Shah model[J]. Intern. J. Comput. Vis., 2002, 50(3): 271 293.
  • 10Zhu Guopu, Zeng Qingshuang, Wang Changhong. Boundary-based image segmentation using binary level set method[J]. Opt. Eng., 2007, 46(5): 050501-1-050501-3.

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