基于角点的蛇模型在图像分割中的研究

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (16): 30-32.

基于角点的蛇模型在图像分割中的研究

唐立群¹，王科俊²，李永华²，郭庆昌²

1.哈尔滨工程大学计算机科学与技术学院，哈尔滨 150001
2.哈尔滨工程大学自动化学院，哈尔滨 150001

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-01 发布日期:2007-06-01
通讯作者: 唐立群

Study of snake based on corner on image segmentation

TANG Li-qun¹，WANG Ke-jun²，LI Yong-hua²，GUO Qing-chang²

1.College of Computer Science and Technology，Harbin Engineering University，Harbin 150001，China
2.College of Automation，Harbin Engineering University，Harbin 150001，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-06-01 Published:2007-06-01
Contact: TANG Li-qun

摘要/Abstract

摘要： 主要应用基于MIC角点检测的snake模型进行图像分割研究。传统的snake算法只考虑曲线本身的特征，并没有充分的利用被拟合图像本身的特征，而此算法首先检测被拟和目标的角点，然后以这些角点为基准进行曲线初始化，最后根据snake算法进行目标拟和;较好地解决了传统snake模型对初始化位置敏感、对有角点和凹陷的图像收敛效果差的缺点。实验表明此算法达到了很好的效果。

Abstract: The image segmentation is studied according the snake model based on the corner. The traditional snake model only applies the features of the curve， which did not adequately apply the feature of the image. But in the algorithm， the corners of the detected object is detected based on the MIC operator; the initialized curve is set based on the corners; the object is fitted according on the snake model. The traditional snake model highly depended on the initialized position of the curve and can not get well fitted effort for the image which has the corners and concaves. The proposed algorithm preferably solve the drawbacks. The experiment proves that the algorithm has very good segmentation efforts.

唐立群¹，王科俊²，李永华²，郭庆昌². 基于角点的蛇模型在图像分割中的研究[J]. 计算机工程与应用, 2007, 43(16): 30-32.

TANG Li-qun¹，WANG Ke-jun²，LI Yong-hua²，GUO Qing-chang². Study of snake based on corner on image segmentation[J]. Computer Engineering and Applications, 2007, 43(16): 30-32.