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|本期目录/Table of Contents|

基于梯度向量流模型的图像分割方法(PDF)

《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

期数:
2009年06期
页码:
16
栏目:
出版日期:
2009-12-26

文章信息/Info

Title:
Image Segmentation Method Based on GVF Snake Model
文章编号:
1008-1194(2009)06-0016-05
作者:
齐华1; 张健2; 刘军3; 郝重阳1
1.西北工业大学电子信息学院，陕西 西安710072；2.西安工业大学电子信息工程学院，
陕西 西安710032；3.西安武警工程学院通信工程系，陕西 西安710086
Author(s):
QI Hua1; ZHANG Jian2; LIU Jun3; HAO Chong-yang1
1.School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710072,China;
2.School of Electronic Information Engineering;Xi’an Technological University,Xi’an 710032,China;
3.Department of communication engineering , Engineering College of Armed Police Force,Xi’an 710086,China
关键词:
图像分割;  Snake;  GVF Snake;  军事目标
Keywords:
image segmentation; Snake; GVF Snake; military target

分类号:
TP391
DOI:
.
文献标识码:
A
摘要:
针对传统Snake模型存在目标边界捕捉范围小，且不能有效检测到目标对象深度凹陷部位等问题，提出应用GVF Snake模型改进传统Snake模型的外部力，以增大Snake曲线的捕捉范围，使曲线能收敛在全局能量最小点，并提高检测深度凹陷部位的性能。理论计算和仿真分析表明： 利用GVF Snake模型对飞机和坦克等军事目标图像进行分割，具有目标边界捕捉范围广、收敛性好的特点。
Abstract:
For the problem that the capture range of the traditional Snake model curve is small and with the traditional Snake model,the deeply concave boundary is difficult to be detected,the GVF (Gradient Vector Flow) Snake model is proposed to improve the external force of traditional Snake model to enlarge capture range of the curve,make sure that the curve converges at the points of the minimum energy,and improve the performance of detecting concave boundary regions.The theory computations and the simulation experiments show that the GVF-snake model has the characteristics of the larger capture range and stronger convergence when applied to image segmentation of the military target (such as airplane and tank).

参考文献/References

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备注/Memo

备注/Memo:
*收稿日期：2009-08-19     修回日期：2009-10-10
作者简介：齐华(1963-)，女，陕西咸阳人，教授，研究方向：信号与信息处理；图像处理。E-mail：qihua102@163.com。
更新日期/Last Update: 2010-01-07