Wavelet-based Multi-resolution Deformation for Medical Endoscopic Image Segmentation |
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| Authors: | Sung Won Yoon Chungkeun Lee Jin Kwon Kim Myoungho Lee |
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| Institution: | (1) School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea;(2) Medical Electronics and Information LAB, School of Electrical & Electronic Engineering, Yonsei University, YERC 212C 134 Sinchon-Dong, Seodaemun-Gu, Seoul, Korea |
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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. |
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| Keywords: | Multi-resolution Wavelet Snake Active contour model Segmentation |
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