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

Authors:
Sung Won Yoon;Chungkeun Lee;Jin Kwon Kim;Myoungho Lee
Affiliations:
School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea;School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea;School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea;School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea and Medical Electronics and Information LAB, School of Electrical & Electronic Engineering, Yonsei University, Seoul, ...
Venue:
Journal of Medical Systems
Year:
2008

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Abstract

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.