Self-Crossing Detection and Location for Parametric Active Contours

Quasi-automatic initialization for parametric active contours

Active contour is a well-known image segmentation technique, commonly used to find object boundaries in images. Its main benefit is its ability to retrieve an ordered collection of points. However, fitting precisely a deformable contour to actual boundaries depends strongly on its initialization and requires adjusting various parameters. This paper presents an original method to initialize quas...

Self-initialising active contours for motion discrimination

This paper examines a novel approach for extracting motion information to allow the autonomous navigation of an intelligent mobile robot using computer vision in a moving camera, moving object environment. The approach begins by extracting low-level scene feature information using algorithms such as the SUSAN corner and edge detector. A routine is described for converting the information obtain...

Shape and Topology Constraints on Parametric Active Contours

Leaf Segmentation and Tracking Using Probabilistic Parametric Active Contours

Active contours or snakes are widely used for segmentation and tracking. These techniques require the minimization of an energy function, which is generally a linear combination of a data fit term and a regularization term. This energy function can be adjusted to exploit the intrinsic object and image features. This can be done by changing the weighting parameters of the data fit and regulariza...

Topology and shape constraints on parametric active contours

In recent years, the eld of active contour based image segmentation has seen the emergence of two competing approaches. The rst and oldest approach represents active contours in an explicit (or parametric) manner corresponding to the Lagrangian formulation. The second approach represents active contours in an implicit manner corresponding to the Eulerian framework. After comparing these two app...