Medical endoscopic image segmentation with multi-resolution deformation

被引：0
|
作者：
Yoon, Sung Won [1 ]
Shin, Hang Sik [1 ]
Min, Se Dong [1 ]
Lee, Myoungho [1 ]
机构：
[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul 120749, South Korea
来源：
HEALTHCOM 2007: UBIQUITOUS HEALTHCARE IN AGING SOCIETIES | 2007年
关键词：
multi-resolution; wavelet; snake; active contour model; segmentation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Image segmentation is an essential technique in image analysis. In spite of issues in contour initialization, boundary concavities and high-level computation, active contour models, also known as snake, are a popular and successful method for segmentation among researchers. Segmentation process in snakes consists of calculation of energy and deformation of contour. In this paper, we present a new deformation method for active contour model, multi-resolution deformation algorithm ensuring powerful time reduction in convergence of the contour to target boundary.
引用
收藏
页码：256 / +
页数：3
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