Discrete Contour Extraction from Reference Curvature Function
Dec 1, 2008·,,
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0 min read
H. G. Nguyen
B. Kerautret
P. Desbarats
Jacques-Olivier Lachaud

Abstract
A robust discrete curvature estimator was recently proposed by Kerautret et al. [1]. In this paper, we exploit the precision and stability of this estimator in order to define a contour extraction method for analysing geometric features. We propose to use a reference curvature function for extracting the frontier of a shape in a gray level image. The frontier extraction is done by using both geometric information represented by the reference curvature and gradient information contained in the source image. The application of this work is done in a medical application.
Type
Publication
Proc. 4th Int. Symp. Advances in Visual Computing (ISVC 2008), Las Vegas, Nevada, volume 5359 of Lecture Notes in Computer Science, pp 1176-1185, 2008. Springer
Contour Extraction
Shape of Reference
Global Curvature Estimator
Curvature Estimation
2D
Image Segmentation
Image Analysis
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.