Abstract. This paper presents a novel approach for image segmentation by introducing competition between neighboring shape models. Our method is motivated by the observation that e...
Pingkun Yan, Weijia Shen, Ashraf A. Kassim, Mubara...
In this work, we propose novel results for the optimization of divergences within the framework of region-based active contours. We focus on parametric statistical models where th...
In this paper, a hybrid medical image segmentation approach is proposed based on a dual front evolution and fast sweeping evolution. This approach is composed of two stages. In th...
This paper proposes an image segmentation model based on the active contour model, the Mumford-Shah functional and the image decomposition process. Generally speaking, the active ...
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...