2D

Many contour-based applications rely on the estimation of the geometry of the shape, such as pattern recognition or classification …

In this paper, we introduce a new curvature estimator along digital contours, which we called global min-curvature (GMC) estimator. As …

Deformable models are continuous energy-minimizing techniques that have been successfully applied to image segmentation and tracking …

Discrete geometry redefines notions borrowed from Euclidean geometry creating a need for new algorithmical tools. The notion of …

Blurred segments [2] were introduced in discrete geometry to address possible noise along discrete contours. The noise is not really …

This paper presents a straightforward top-down segmentation method based on a contour approach on histological images. Our approach …

The Minimum Length Polygon (MLP) is an interesting first order approximation of a digital contour. For instance, the convexity of the …

Several curvature estimators along digital contours were proposed in recent works [1,2,3]. These estimators are adapted to non perfect …

A robust discrete curvature estimator was recently proposed by Kerautret et al. [1]. In this paper, we exploit the precision and …

The notion of convexity translates non-trivially from Euclidean geometry to discrete geometry, and detecting if a discrete region of …