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一种全局LBF主动轮廓模型
引用本文:任鸽,古力米热·阿吾旦,曹兴芹. 一种全局LBF主动轮廓模型[J]. 计算机应用与软件, 2012, 0(3): 28-31
作者姓名:任鸽  古力米热·阿吾旦  曹兴芹
作者单位:新疆师范大学计算机科学技术学院;新疆财经大学计算机科学与工程学院
基金项目:国家自然科学基金主任基金(31040050);新疆维吾尔自治区自然科学基金(2010211A22);新疆师范大学研究生科技创新基金(20101206)
摘    要:
LBF模型的能量函数对于水平集函数是非凸的,从而导致应用LBF模型分割的最终结果对水平集函数的初始化非常敏感。通过凸化LBF模型的能量函数,提出一种全局的LBF模型(GLBF)。该模型针对水平集函数是凸的,从而可以通过任意初始化水平集函数得到全局最优解。此外,该模型不必重新初始化水平集函数为符号距离函数,从而极大地提高运算效率。对灰度不均匀医学图像的分割结果表明,GLBF模型对水平集函数的初始化不敏感,优于传统的LBF模型以及目前具有代表性的LIF模型。

关 键 词:主动轮廓模型  水平集  LIF模型  LBF模型  图像分割

A GLOBAL LBF ACTIVE CONTOUR MODEL
Ren Ge,Gulimire Awudan,Cao Xingqin. A GLOBAL LBF ACTIVE CONTOUR MODEL[J]. Computer Applications and Software, 2012, 0(3): 28-31
Authors:Ren Ge  Gulimire Awudan  Cao Xingqin
Affiliation:1(College of Computer Science,Xinjiang Normal University,Urumqi 830054,Xinjiang,China) 2(College of Computer Science and Technology,Xinjiang University of Finance and Economics,Urumqi 830012,Xinjiang,China)
Abstract:
LBF model energy function is non-convex with level set function,leading to extreme sensitivity of LBF model segmentation final results with level set function initialization.By convex LBF model energy function,the paper presents a gobal LBF(GLBF) model.GLBF model is convex with respect to level set function,so that by arbitrary initializing level set function,a global optimum result is obtained.Moreover it is unnecessary for the model to re-initialize level set function as signed distance function,so that it greatly speeds up the computation efficiency.Segmentation results with unevenly-gray medical images explains that GLBF model is insensitive with level set function initialization,so that it is superior over the traditional LBF model and state-of-the-art representative LIF model.
Keywords:Active contour model Level set LIF model LBF model Image segmentation
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