期刊文献+

基于“催化剂”的图像分割算法研究

Image segmentation based on "catalyst" segmentation method
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摘要 目的:针对基于二叉树分割算法的分割停止判断的局限性,提出基于"催化剂"的图像分割方法。方法:在分割图像中引入试探图像作为"催化剂,"并以"催化剂"在分割结果中是否显现为依据来判断二叉树分割的候选结点是否应该停止分割。结果:"催化剂"分割算法可有效地对待分割图像进行正确的类数判断。结论:初步实验表明,"催化剂"分割方法简洁、有效。 Objective To propose a novel method for image segmentation hased on "catalyst" segmentation method. Methods Feeler image was imported into segmentation algorithm as the "catalyst", and whether the candidate nodes should stop segmentation or not was decided according to whether the catalyst appeared in the segmentation result. Results Image segmentation based on "catalyst" segmentation method could judge the right class number for segmented images. Conclusions Primary experiments shows that "catalyst" segmentation method is simple and useful.
出处 《医疗卫生装备》 CAS 2007年第11期3-5,共3页 Chinese Medical Equipment Journal
基金 国家"973"重点基础研究发展规划项目基金(2003CB716101) 广东省自然科学基金(06024419)资助
关键词 图像分割 催化剂 二叉树 马尔可夫随机场 image segmentation catalyst hinary tree Markov random field
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参考文献12

  • 1Akaike H. A new look at the statistical model identification [J]. IEEE Trans Auto Contr, 1974,19(6):716-723. 被引量:1
  • 2程兵,王莹,郑南宁,贾新春,袁泽剑,李青,卞正中.基于Markov随机场和FRAME模型的无监督图像分割[J].中国科学(E辑),2004,34(4):391-400. 被引量:9
  • 3Li S Z. Markov random field modeling in image analysis [M]. 2nd ed. Belin : Springer-Verlag, 2000. 被引量:1
  • 4颜刚,陈武凡,冯衍秋.广义模糊Gibbs随机场与MR图像分割算法研究[J].中国图象图形学报,2005,10(9):1082-1088. 被引量:13
  • 5王爱民,沈兰荪.图像分割研究综述[J].测控技术,2000,19(5):1-6. 被引量:115
  • 6Breiman L, Friedman J H, Olshen R A, et al. Classification and Regression Trees [M]. Belmont ,CA: Wadsworth, 1984. 被引量:1
  • 7Poggi G, Ragozini A R P. Image segmentation by tree-structured Markov random field [J]. IEEE Signal Proces Lett,1999,6 (7): 155-157. 被引量:1
  • 8Elia C D,Poggi G,Scarpa G. A tree-structured Markov random field model for Bayesian image segmentation [J]. IEEE Trans Image Process, 2003,12(10) : 125-127. 被引量:1
  • 9Besag J. Spatial interaction and the statistical analysis of lattice systems [J]. J R Statist Soc B, 1974,36:192-326. 被引量:1
  • 10Geman S,Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images [J]. IEEE Trans Pattern Anal Machine Intell, 1984,6 (6) : 721-741. 被引量:1

二级参考文献39

  • 1章毓晋.客观的图象质量测度及其在分割评价中的应用[J].电子科学学刊,1997,19(1):1-5. 被引量:12
  • 2Pham D L, Prince J L. Adaptive fuzzy segmentation of magenetic resonace images[J]. IEEE Transactions on Medical Imaging, 1999,18(9) : 737 -752. 被引量:1
  • 3Zhang Yong-yue, Michael B, Stephen S. Segmentation of brain images through a hidden Markov random field model and the expectation-maximization algorithm [ J ]. IEEE Transactions on Medical Imaging, 2001,20( 1 ) : 45 -57. 被引量:1
  • 4Liew Alan Wee-Chang, Yan Hong. An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation [ J ]. IEEE Transactions on Medical Imaging, 2003, 22(9) : 1063 - 1075. 被引量:1
  • 5Zhu Chao-zhe, Jiang Tian-zi. MultiContext fuzzy clustering for separation of brain tissues in magnetic resonance images [ J ].NeuroImage, 2003, 18(3 ): 685 - 696. 被引量:1
  • 6Ahmed M N, Yamany S M. A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data [ J ]. IEEE Transactions on Medical Imaging, 2002, 21(3) : 193 - 199. 被引量:1
  • 7Prewer D, Kitchen L J. Soft image segmentation by weighted linked pyramid [ J ]. Pattern Recognition Letters, 2001, 22 (2) : 123 - 132. 被引量:1
  • 8Caillol H, Pieczynski W, Hillion A. Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation [ J ]. IEEE Transactions on Image Processing, 1997, 6(3 ) : 425 -440. 被引量:1
  • 9Caillol H, Hillion A. Fuzzy random fields and unsupervised image segmentation [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 1993, 31(4) : 801.-810. 被引量:1
  • 10Salzenstein F, Pieczynski W. Parameter estimation in hidden fuzzy Markov random fields and images segmentation [ J ]. Graphical Models and Image Processing, 1997, 59(4) : 205 - 220. 被引量:1

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