主动轮廓模型

提出了一种采用Hermite样条曲线拟合方法与主动轮廓模型相结合的方法。

An improved method combining Hermite splines curve and ACM is presented in this paper .

对一系列图像训练得到该训练集的典型轮廓曲线，初始化新图像的主动轮廓模型曲线后，再用训练集得到的轮廓线约束其变形，提取图像最佳的轮廓曲线。

A typical contour model is obtained from an image training set . After the initialization of a new image 's ACM contour , the typical contour mentioned above is used as the deformation constraint to extract the nearly optimum contour .

基于图划分的形状统计主动轮廓模型心脏MR图像分割

Graph Cuts and Shape Statistics Based Cardiac MR Image Segmentation Using Active Contours Model

用基于主动轮廓模型的方法分割肺部病理CT图像病灶

Segmentation of Pneumonic Pathology CT Image with Method Based on Active Contour Model

基于动态规划法的B样条主动轮廓模型

B-Spline Active Contour Based on Dynamic Programming

基于B样条的主动轮廓模型

Active Contour Model Based on B-spline

基于主动轮廓模型的脑部MRI图像边缘提取方法研究

Research on Edge Extraction in MRI Brain Images Based on Snake

主动轮廓模型（ActiveContourModel）也被称为snake模型，是近年来被广泛使用的图像分割技术之一。

Active contour model is also called snakes . It was widely used in recent years as a tool for image segmentation .

分析和研究了主动轮廓模型（Snake模型），并对该模型的能量函数进行了改进。

We improve on the energy function of Active Contours Model ( Snake model ) .

主动轮廓模型方法（ActiveContourModel，也称Snakes方法）被广泛应用于特征提取、图像分割等技术中。

Active contour model ( usually called as snakes method ) has been widely used in the technology of image segmentation , feature extraction et al .

本论文工作的目的是系统地发展和应用主动轮廓模型技术进行脑部MRI图像的边缘提取。

The major goal of this paper is to systematically develop and apply the technique of Snake for edge extraction in MRI brain images .

对于基于轮廓线的表面重建，利用主动轮廓模型（ActiveModel，又称Snakemodel）来完成断层图象上目标轮廓的提取，可以获得单象素连通的封闭的目标边界轮廓；

For reconstruction from contours , this dissertation uses Active Contour Model ( Snake Model ) to check the boundary contours . The algorithm can generate single , continuous and close contours quickly .

最后，论文比较了参数主动轮廓模型和几何主动轮廓模型的优缺点，并对今后Snake模型在图像边缘检测技术中的运用进行了展望。

Finally , we summarize the advantages and disadvantages of the parametric active contour models and the geometric active contour model respectively .

短程线主动轮廓模型（GeodesicActiveContourModel）是一种全新的图像分割和目标提取方法，由Caselles等人首先提出。

Geodesic Active Contour Model ( GACM ) was originally proposed by Caselles as a novel approach for image segmentation and object exaction .

第三步，基于改进的带状主动轮廓模型（RibbonSnake）对初始道路网进行边缘优化得到最终的道路网。

The third step , implementing edge optimization on the primary road network using improved ribbon snake and gaining ultimate road network .

本文在系统地分析了国内外关于可变形模型理论与应用研究的基础上，提出了一种基于有限元法的B样条主动轮廓模型；

In this dissertation , based on the systematically analysis of theory and application research on deformable model , a new B-spline active contour based on the finite element method ( FEM ) is proposed ;

最后在考虑帧间相变线关联性的基础上，提出一种融合形状先验特征的C-V主动轮廓模型相变线跟踪算法。

Finally , a phase-change line tracking algorithm is presented by introducing shape priori characteristics into C-V active contour model .

基于VFC主动轮廓模型的红外图像轮廓提取

VFC Active Contour Model Based Infrared Image Contour Extraction

利用参数化B样条来描述轮廓线，得到B-snake主动轮廓模型；

Parameterized B-spline to describe contour is used , gained B-snake model . Less control dots is used to get a good describing of local contour .

采用传统的主动轮廓模型与本文方法分别对两幅颅脑图像中的病变区域提取轮廓，对比实验结果表明，采用Hermite样条轮廓模型可以取得更加令人满意的效果。

The results of extracting contours of focus in two skull images show that Hermite Splines Contour Model is more efficient than traditional ACM .

针对复杂相变热图序列相变线自动提取问题，提出一种基于帧间差分信息的C-V主动轮廓模型提取方法。

A new method based on C-V active contour model is proposed to extract phase-change line automatically from complex phase-change thermography sequence .

本文对主动轮廓模型的算法机理和其改进算法&GVFSnake算法进行了详细的介绍，并将此模型应用于骨关节CT断层图像序列的边缘提取中。

The paper introduces the arithmetic of active contour model and arithmetic of GVF Snake that is the improved arithmetic of active contour model , and the improved arithmetic has application in edge extraction for the CT image series of bone .

针对Snake不能收敛于凹形边缘和收敛速度慢的缺点，结合帧间差分和梯度矢量流主动轮廓模型（GVFSnake），提出了一种运动目标跟踪方法。

Aiming at the limitations that classic Snake cannot converge to concave edge and convergence speed is slowly , a moving target tracking method based on frame-to-frame difference and GVF snake is proposed .

针对这个问题，首先基于目标与背景区域灰度值服从不同的高斯分布的假设，依据Bayes判决准则在传统的主动轮廓模型中引入了区域能量；

To solve the problem , firstly , we assume different Gaussian distribution for object and background . Then , a new region energy based on Bayes theory is introduced into the traditional parametrical active contour model .

提出的方法主要基于以下两条途径：其一，微分几何方法提取线性结构的中心线；其二，基于主动轮廓模型（又被称为Snake）的道路边界提取。

Proposed method is based on two previously developed approaches : the first one is the differential geometric approach to extract linear features ; second one is road contour extraction based on Active Contour Models ( also known as Snake ) .

充分利用区域可扩展拟合模型RSF和全局最小化主动轮廓模型GMAC各自的优势，提出了一种新的基于区域可扩展的全局主动轮廓边缘检测模型（RSF-GAC）。

A novel global active contour edge detection model ( RSF-GAC ) based on region scalable fitting is proposed , which makes full use of advantages of RSF model and GMAC model .

自从Kass在1987年首先提出该模型以来，很多研究者从不同方向对模型进行着改进，基于贝叶斯理论框架下的主动轮廓模型（概率模型）就是其中比较成功的一类。

Active contour model ( snakes ) was first introduced by Kass in 1987 , since then , it has been improved by many researchers . A quite successful model among them is that of Bayesian statistics-based shape models .

而C-V几何主动轮廓模型是基于偏微分方程的图像分割模型，该模型分割图像可以得到全局最优的、连续边缘的分割结果，具有较强的抗噪性，是目前比较有效的图像分割方法。

The C-V geometric active contour model is based on the theory of partial differential equations . The segmentation result which is globally optimal , continuous edge can be gained by using C-V model , and C-V model which has strongly noise immunity is the effective image segmentation method currently .

视差估计与分割是立体图像编码及立体视觉匹配的核心问题，本文提出一种基于分层MRF/GRF模型和交叠块匹配（HMOM）视差估计算法以及结合主动轮廓模型的视差分割提取算法。

Disparity estimation and segmentation are vital tasks in stereo image coding and stereo vision matching . This paper proposes an algorithm for disparity estimation based on hierarchical MRF / GRF model and overlapped block matching ( HMOM ), and for disparity segmentation and extraction using active contour model .

主动轮廓模型在车牌识别算法中的应用研究

Vehicle License Plate Recognition Method Based on Active Contour Model