梯度流

通过梯度向量扩散与梯度流跟踪，细胞图像被分割成很多个仅包含一个细胞和周围背景的小区域；然后使用自适应阈值法成功地从每一个小区域的背景中提取独立的细胞。

After gradient vector diffusion and gradient flow tracking , the cell image is separated into some small regions , each region containing one cell and its background . Local adaptive thresholding is performed for each small region , the single cell can be extracted from the background .

强似梯度流的存在性

The Existence of the Strongly Gradient-like Flow

基于梯度矢量流变形轮廓的B样条曲线拟合

B-Spline Curve Fitting Based on Gradient Vector Flow Deformable Models

梯度矢量流Snake模型临界点剖析

Analysis of the Critical Point of the Gradient Vector Flow Snake Model

基于小波变换和梯度矢量流Snake模型的ERS-1SAR图像的海岸线探测

Detection of Shoreline in SAR Image Based on Wavelet and GVF Snake Model

基于梯度向量流snake模型的可视人体图像骨组织分割

Bone segmentation based on gradient vector flow snake model in visible human project image

传统梯度矢量流snake模型仅根据图像中的亮度信息进行图像分割。

The traditional GVF snake model segments an image only based on the intensity attribute .

梯度向量流和图像梯度的有机组合产生的力场作为Snake模型新的外力场。

The combine gradient vector force field with potential force field takes for new exterior force field on snake model .

心脏核磁共振图像分割一直是医学影像分析领域的研究热点和难点，文中提出了一种基于梯度矢量流Snake模型的左心室分割方法。

Segmentation of cardiac magnetic resonance images is a hot topic in the community of medical images analysis and remains one of the open problems .

提出了一种基于梯度矢量流（GVF）的快速收敛骨架snake算法。

We presented a novel and fast convergent skeleton snake model based on gradient vector flow ( GVF ) .

提出了一种新的基于GVFSnake模型的分割方法。包括二个要点：①在多尺度空间上计算梯度向量流。

The innovative achievements of the thesis include : 1 . A new segmentation method based on GVF snake is proposed .

梯度矢量流（GVF）变形模型在医学图像分割中的应用

Medical Image Segmentation Using GVF Deformable Models

由于淋巴结超声图像质量较差，含有大量的斑点噪声而且对比度较低。传统梯度矢量流snake模型的分割结果难以令人满意。

Since the node sonograms exhibit poor quality with speckle noises and low contrast , the performance of the traditional GVF snake model is not satisfied for the sonograms .

利用小波分析理论和GVF（梯度矢量流）Snake动态轮廓模型方法，提出了一种图像边缘检测的新方法-WVF（小波变换矢量流）Snake模型。

A new images edge-detection method-Wavelets Vector Flow Snake model method is put forward on the basis of the wavelets theory and GVF snake model .

本文用Snake的内部能量作为图像水平线的先验模型，由它的梯度下降流得到关于图像曲面的演化方程。

The internal energy of the Snake is used as the prior model of the level lines of the image , and from its descent flow we obtain the evolution equation of the image surface .

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 .

图像分割方法如Snake模型、梯度向量流模型等利用动态优化的能量函数逼近目标真实轮廓，扩大外力范围，加强对目标凹陷轮廓边缘的吸引力。

Image segmentation methods , such as the snake model , the gradient vector flow model , use dynamic optimization of energy function to approximate the true target outline , to expand external range and to enhance the attractiveness of the target depression contour edges .

本文提出了迭代梯度矢量流参数变形模型（IGVF）。

In this thesis , a new deformable model called Iterative Gradient Vector Flow ( IGVF ) is developed .

人工干预使蛇模型只能用于半自动的图像分割，该文在梯度向量流（GVF）蛇模型的基础上提出一种基于流场节点与最小路径方法的全自动图像分割算法。

In this paper , on the basis of Gradient Vector Flow ( GVF ) snakes , a fully automatic image segmentation algorithm based on the analysis of flow field and the minimal path method is proposed .

用Leray-Schauder不动点定理证明了该泛函的梯度下降流方程组解的存在性和唯一性，并与相关的彩色图像去噪模型进行了比较。

The existence and uniqueness of the solution to the gradient descent flow corresponding to the new functional were proved by Leray-Schauder fixed point theorem , and the new model was compared with the correlative chromatic denoising models .

梯度矢量流（GVF）模型是从广义力平衡方程出发，利用能量最小公式，应用扩散方程扩散了边界区域的边缘映射梯度，产生了一种广义矢量场，包含无旋分量和无散分量。

GVF model derives from generalized force balance equations , a vector diffusion equation is employed to diffuse the gradient of an edge map in regions distant from the boundary , yielding a general type of force field which can be decomposed into an irrotational component and a solenoidal component .

基于动态方向梯度矢量流蛇模型的图像分割

Medical Image Segmentation Based on Dynamic Directional Vector Flow Snake Model

一种基于改进梯度向量流的主动轮廓算法

An Active Contour Algorithm Based on Improved Gradient Vector Flow

辅以区域力量的梯度矢量流测地线活动轮廓模型

Gradient Vector Flow Geodesic Active Contour Model Aided Region Force

基于梯度矢量流主动轮廓模型的等高线提取算法

Extraction Algorithm of Contour Lines Based on Generalized Gradient Vector Flow Snakes Model

基于边带限制的梯度矢量流主动轮廓线模型的超声图像分割

Band Limitation Based Gradient Vector Flow Active Contour Model for Ultrasound Image Segmentation

一种改进的多尺度梯度矢量流模型

An Improved GVF Snake Based on Multi-scale Image Analysis

迭代梯度矢量流变形模型的图象分割方法

Iterative Gradient Vector Flow Snake for Segmentation of Image

基于梯度向量流模型的图像分割方法

Image Segmentation Method Based on GVF Snake Model

迭代梯度矢量流方法及其在医学图像分割中的应用

Iterative Gradient Vector Flow ( IGVF ) Method and Its Application in Medical Image Segmentation