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基于弦理论的目标轮廓提取方法

Object Contour Extraction Based on String Theory
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摘要 为保证目标轮廓的连续性,以弦理论为基础,在满足Dirichlet边界条件下,建立目标轮廓能量泛函模型.通过把目标轮廓曲线看作离散粒子相互作用组成的系统,构造粒子运动的响应函数,模拟粒子间的相互作用,采用增量法,逐步搜寻满足条件的轮廓曲线,在满足能量泛函最小时,提取出目标轮廓.实验结果表明:通过设置相关参数,能够有效提取出目标轮廓曲线,保证轮廓曲线的完整性,使得曲线支持无级缩放.该算法只须给定两个端点就可提取一条开目标轮廓曲线,减少了目标轮廓提取人工交互次数,提高了工作效率. In order to guarantee the continuity of the object contour,the energy functional model of object contour based on the string theory satisfying the Dirichlet boundary conditions is established in this paper. By taking the object contour curve as a composition system of discrete interaction particles,the response function of particle motion is constructed such that the interaction between particles is simulated. Finally,the incremental method is adopted to gradually search contour curve which satisfies minimization condition of energy function. Experimental results show that the object contour can be extracted effectively by reasonable configuration of relevant parameters,in the meanwhile,the integrity of the contour curve can be ensured and the extracted curve can be zoomed without limitation. An open contour curve with two end points can be extracted efficiently using this algorithm which need lesser manual interaction.
出处 《中南民族大学学报(自然科学版)》 CAS 北大核心 2015年第4期123-128,共6页 Journal of South-Central University for Nationalities:Natural Science Edition
基金 国家自然科学基金资助项目(60975011) 中南民族大学中央高校基本科研业务费专项资金资助项目(YZZ13003 CZW15051)
关键词 弦理论 目标轮廓提取 能量泛函模型 响应函数 string theory object contour extraction energy functional model response function
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参考文献8

  • 1Malik J, Blelngie S, Leung T, et al. Contour and texture analysis for image segmentation [ J ]. IJCV, 2001,43 ( 1 ) :7-27.
  • 2Cao Y, Wang C, Zhang L, et al. Edge index for large- scale sketch-based image search [ C ]/! IEEE. IEEE International Conference on Computer Vision and Pattern Recognition. Barcelona: IEEE, 2011:761-768.
  • 3Belongie S, Malik J, Puzicha J. Shape matching and object recognition using shape contexts [ J ]. IEEE Transcantions on Pattern Analysis and Machine Intelligence, 2002, 24(4): 509-522.
  • 4Mumford D, Shah J. Boundary detection by minimizing functionals [ C ]// IEEE. IEEE International Conference on Computer Vision Pattern Recognition, San Francisco:IEEE,1985(5):22-26.
  • 5夏利民,谷士文,沈新权.基于活动轮廓的运动目标的动态分割[J].中国图象图形学报(A辑),1999,4(8):631-634. 被引量:7
  • 6Ambrosio L, Tortorelli V. On the approximation of functionals depending on jumps by elliptic functionals [J]. Comm Pure and Appl Math, 1990, 43: 999-1036.
  • 7MaUadi R, Sethian J, Vemuri B. Shape modeling with front propagation: a level set approach [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(2): 158-175.
  • 8Lou L, Ding M. Principle and approach of boundary extraction based on particle motion in quantum mechanics [ J ]. Optical Engineering, 2007, 46 ( 2 ) : 027005-027005-16.

二级参考文献1

  • 1Michael Kass,Andrew Witkin,Demetri Terzopoulos. Snakes: Active contour models[J] 1988,International Journal of Computer Vision(4):321~331

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