title: Wavelet-based multi-resolution deformation for medical endoscopic image segmentation.
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.
authors.affiliation: School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea.
authors.forename: Won Sung
authors.initials: WS
authors.lastname: Yoon
authors.forename: Chungkeun
authors.initials: C
authors.lastname: Lee
authors.forename: Kwon Jin
authors.initials: KJ
authors.lastname: Kim
authors.forename: Myoungho
authors.initials: M
authors.lastname: Lee
mesh_terms: D004724:Endoscopy / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D010363:Pattern Recognition, Automated