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[1]张荣国,刘小君,党伟超,等.多目标轮廓MumfordShah水平集提取[J].智能系统学报,2011,6(4):360-366.
　ZHANG Rongguo,LIU Xiaojun,DANG Weichao,et al.MumfordShah level set method for multiobjective contour extraction[J].CAAI Transactions on Intelligent Systems,2011,6(4):360-366.

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多目标轮廓MumfordShah水平集提取

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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 6 期数: 2011年第4期页码: 360-366 栏目: 学术论文—人工智能基础出版日期: 2011-08-25

Title:: MumfordShah level set method for multiobjective contour extraction

文章编号:: 1673-4785(2011)04-0360-07

作者:: 张荣国^1，2，刘小君²，党伟超^1，刘焜^2; 1.太原科技大学计算机科学与技术学院，山西太原 030024;
?2.合肥工业大学机械与汽车工程学院，安徽合肥 230009

Author(s):: ZHANG Rongguo^1，2， LIU Xiaojun^2， DANG Weichao¹， LIU Kun²; 1. School of Computer Science and Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China; 2. School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei 230009, China

关键词:: MumfordShah模型; 水平集方法; 多目标轮廓; 能量方程

Keywords:: MumfordShah model; level set method; multiobjective contours; energy equation

分类号:: TP391

文献标志码:: A

摘要:: 目标轮廓的快速检测进而提取其几何形状，在图形图像处理中有着重要的作用.提出了一种多目标轮廓的水平集提取方法，对基于MumfordShah模型的CV方法从两方面进行了改进：增加梯度矢量场和曲线法方向的融合作为边界吸引场，生成可以驱动主动轮廓向边缘进化的双向几何变形流，保留原图像分布信息作为区域进化能，解决未考虑局部几何信息造成的区域能量捕捉信息不全，或边缘梯度场和演化曲线法线方向正交时无法实现拓扑结构变化的缺陷；对水平集函数进行修正，使得它在收敛过程中能自动进行调整，确保其满足符号距离函数的要求，扩大初始化前迭代搜索区域，减少初始化次数，提高收敛效率；最后给出所提方法的数字化求解方案.实验表明该方法可行且具有较好的鲁棒性.

Abstract:: Fast detection of objective contours and extraction of its geometric shape have important roles in graphics and image processing. Based on the MumfordShah model, a novel level set method for multiobjective contour extraction was presented. First, the gradient vector field was combined with normal direction of the curves as boundary abstracted fields, so as to generate a bidirectional geometric deformable flow field which can drive active contours evolving towards the boundary from inside or outside edges. Furthermore, the distributed information of the image would be left as area evolution energy. This method can solve problems that arise when area energy information is lost because local geometric information isn’t considered, or when topological structure should not be changed because the gradient vector field is orthogonal with normal direction. Then the level set function was modified so that it could change adaptively in curve convergence. Other reasons for this modification were to make sure that the level set changes could maintain signal distance function, the search area could be covered sufficiently before reinitialization, and the iterative number could be decreased. The convergence efficiency was also raised. Finally, a numerical solving scheme was given. Experimental results illustrate that the method proposed in this paper is feasible and robust. 

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备注/Memo

收稿日期： 2010-07-15.
基金项目：国家自然科学基金资助项目（51075113）. 
通信作者：张荣国. E-mail:rg_zh@163.com.
?作者简介：
张荣国，男，1964年生，教授, 博士,主要研究方向为图形图像处理、CAD/ CG和计算机支持的协同设计等.
刘小君,女,1965年生，教授, 博士,主要研究方向为数字化设计和图像处理.
党伟超，男，1974年生，副教授，主要研究方向为图像处理与信息系统.

更新日期/Last Update: 2011-09-30

多目标轮廓MumfordShah水平集提取 PDF下载HTML

备注/Memo

多目标轮廓MumfordShah水平集提取

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