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

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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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Authors and Affiliations

  1. School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea

    Sung Won Yoon, Chungkeun Lee, Jin Kwon Kim & Myoungho Lee

  2. Medical Electronics and Information LAB, School of Electrical & Electronic Engineering, Yonsei University, YERC 212C 134 Sinchon-Dong, Seodaemun-Gu, Seoul, Korea

    Myoungho Lee

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  1. Sung Won Yoon
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  2. Chungkeun Lee
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  3. Jin Kwon Kim
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  4. Myoungho Lee
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Correspondence to Myoungho Lee.

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Yoon, S.W., Lee, C., Kim, J.K. et al. Wavelet-based Multi-resolution Deformation for Medical Endoscopic Image Segmentation. J Med Syst 32, 207–214 (2008). https://doi.org/10.1007/s10916-007-9124-6

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  • DOI: https://doi.org/10.1007/s10916-007-9124-6

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