Image segmentation using gradient vector diffusion and region merging

被引：0
|
作者：
Yu, ZY [1 ]
Bajaj, C [1 ]
机构：
[1] Univ Texas, Dept Comp Sci, Austin, TX 78712 USA
来源：
16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. However traditional snake models prove to be limited in several aspects. The present paper describes a set of diffusion equations applied to image gradient vectors, yielding a vector field over the image domain. The obtained vector field provides the Snake Model an external force as well as an automatic way to generate the initial contours. Finally a region merging technique is employed to further improve the segmentation results.
引用
收藏
页码：941 / 944
页数：4
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