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

页码：256 / +

页数：3

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