Wavelet-based Multi-resolution Deformation for Medical Endoscopic Image Segmentation

被引:0
作者
Sung Won Yoon
Chungkeun Lee
Jin Kwon Kim
Myoungho Lee
机构
[1] Yonsei University,School of Electrical & Electronic Engineering
[2] Yonsei University,Medical Electronics and Information LAB, School of Electrical & Electronic Engineering
来源
Journal of Medical Systems | 2008年 / 32卷
关键词
Multi-resolution; Wavelet; Snake; Active contour model; Segmentation;
D O I
暂无
中图分类号
学科分类号
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 (snakes) are 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 based on wavelet ensuring powerful time reduction, high accuracy supported by stable results in convergence of an initial contour to target boundary in medical image segmentation.
引用
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页码:207 / 214
页数:7
相关论文
共 16 条
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  • [10] Lee M. H.(undefined)undefined undefined undefined undefined-undefined