image analysis

We propose a graph cut model to optimize bidimensional shapes with respect to the elastica energy. At each iteration our model selects …

Chair of the organization committee.

Geometric priors have been shown to be useful in image segmentation to regularize results. For example, the classical Mumford-Shah …

A tutorial on digital geometry and its applications to pattern recognition

Recent works have indicated the potential of using curvature as a regularizer in image segmentation, in particular for the class of …

Essential image processing and analysis tasks, such as image segmentation, simplification and denoising, can be conducted in a unified …

The Mumford-Shah (MS) functional is one of the most influential variational model in image segmentation, restoration, and cartooning. …

The automatic detection of noisy or damaged parts along digital contours is a difficult problem since it is hard to distinguish between …

In image processing and pattern recognition, the accuracy of most algorithms is dependent on a good parameterization, generally a …