digital contour

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

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

This paper presents a first step in analyzing how digital shapes behave with respect to multiresolution. We first present an analysis …

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

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

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

In this paper we introduce a new curvature estimator based on global optimisation. This method called Global Min-Curvature exploits the …

Estimating the geometry of a digital shape or contour is an important task in many image analysis applications. This paper proposes an …

Estimating curvature on digital shapes is known to be a difficult problem even in high resolution images. Moreover the presence of …

This paper presents a new tangent estimator to digitized curves based on digital line recognition. It outperforms existing ones on …