[1]石澄贤,等.Snakes外力场的改进及其左心室MRI的精确分割[J].南京理工大学学报(自然科学版),2006,(01):76-80.
 SHI Cheng-xian,WANG Ping- an,et al.Improved External Force Field for Snakes and Accurate Segmentation of Left Ventricle MRI[J].Journal of Nanjing University of Science and Technology,2006,(01):76-80.
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Snakes外力场的改进及其左心室MRI的精确分割
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2006年01期
页码:
76-80
栏目:
出版日期:
2006-02-28

文章信息/Info

Title:
Improved External Force Field for Snakes and Accurate Segmentation of Left Ventricle MRI
作者:
石澄贤1 2王平安3 夏德深1
1. 南京理工大学计算机科学与技术学院, 江苏南京210094; 2. 江苏工业学院信息科学系, 江苏常州213016; 3. 香港中文大学计算机科学与工程系, 香港沙田
Author(s):
SHI Cheng-xian1 2 WANG Ping- an3 XIA De-shen1
1.School of Computer Science and Technology, NUST,Nanjing 210094, China; 2. Department of Information Science, Jiangsu Polytechnic University, Changzhou 213016, China; 3.Department of Computer Science and Engineering,The Chinese University of Hong Kong, H
关键词:
参数活动轮廓 梯度向量流 势能力场 图像分割
Keywords:
parameter active contour gradient vector flow potential force field image segmentation
分类号:
TP391.41
摘要:
参数活动轮廓模型(Snakes)分割图像时有两个明显的缺陷:要求初始轮廓线位于图像特征附近,且对深度凹陷区域的分割也不理想。基于梯度向量流(GVF)Snakes较好地解决了传统Snakes的两个本质缺陷。但是,由于GVF Snakes内力的性质和GVF的光滑性,使得对曲率大的边缘点不能精确定位。该文通过采用各向异性方程对图像扩散平滑和边缘增强,改善计算势能力场和梯度向量力场指向边缘的精确度。两种力场的有机组合作为Snakes的外力场。这种新的力场Snakes具有GVF Snakes和势能力场Snakes的优点,对左心室核磁共振图像(MRI)进行分割能得到精确的边缘轮廓。
Abstract:
Parametric active contour model ( Snakes) manifests two limitations: an initial contour must be set near the feature of the image and such a model cannot deal properly with the concave regions in the image. By replacing the gradient f ield with the gradient vector flow ( GVF) , Snakes can segment concave region edges effectively and has a large capture range. GVF Snakes has poor performances at high curvature boundaries ( such as corners) due to the smoothness of the intrinsic force and the gradient vector flow. The image is smoothed by an anisotropic diffusion equation. The combination of the gradient vector force field with the potential force field is proposed for Snakes. Experiments demonstrate that the model curve is driven accurately to the object boundary by the new forces even if the init ial estimate curve is not close, the object is nonconvex or the edge has a high local curvature on the left ventricle MRI.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 石澄贤( 1961- ) , 男, 江苏无锡人, 副教授, 博士生, 主要研究方向: 模式识别和图像处理, E-mail: shicx@ em. jpu. edu. cn。
更新日期/Last Update: 2006-02-28