We address the problem of quasi-automatic extraction of directed networks, which have characteristic geometric features, from images. To include the necessary prior knowledge about these geometric features, we use a phase field higher-order active contour model of directed networks. The model has a large number of unphysical parameters (weights of energy terms), and can favour different geometric structures for different parameter values. To overcome this problem, we perform a stability analysis of a long, straight bar in order to find parameter ranges that favour networks. The resulting constraints necessary to produce stable networks eliminate some parameters, replace others by physical parameters such as network branch width, and place l...
We propose a new algorithm for network segmentation from very high resolution (VHR) remote sensing i...
One of the main difficulties in extracting line networks from images, and in particular road network...
We introduce a new class of active contour models that hold great promise for region and shape model...
International audienceWe address the problem of quasi-automatic extraction of directed networks, whi...
The segmentation of directed networks is an important problem in many domains, e.g. medical imaging ...
The segmentation of networks is important in several imaging domains, and models incorporating prior...
International audienceThe segmentation of directed networks is an important problem in many domains,...
This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i...
This paper addresses the segmentation from an image of entities that have the form of a 'network', i...
International audienceThe segmentation of networks is important in several imaging domains, and mode...
This thesis describes the construction of an undirected network (e.g. road network) model, based on ...
The original publication is available at www.springerlink.comInternational audienceThis paper addres...
International audienceThis paper addresses the segmentation from an image of entities that have the ...
The representation and modelling of regions is an important topic in computer vision. In this paper,...
The segmentation of networks is important in several imaging domains, and models incorporating prior...
We propose a new algorithm for network segmentation from very high resolution (VHR) remote sensing i...
One of the main difficulties in extracting line networks from images, and in particular road network...
We introduce a new class of active contour models that hold great promise for region and shape model...
International audienceWe address the problem of quasi-automatic extraction of directed networks, whi...
The segmentation of directed networks is an important problem in many domains, e.g. medical imaging ...
The segmentation of networks is important in several imaging domains, and models incorporating prior...
International audienceThe segmentation of directed networks is an important problem in many domains,...
This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i...
This paper addresses the segmentation from an image of entities that have the form of a 'network', i...
International audienceThe segmentation of networks is important in several imaging domains, and mode...
This thesis describes the construction of an undirected network (e.g. road network) model, based on ...
The original publication is available at www.springerlink.comInternational audienceThis paper addres...
International audienceThis paper addresses the segmentation from an image of entities that have the ...
The representation and modelling of regions is an important topic in computer vision. In this paper,...
The segmentation of networks is important in several imaging domains, and models incorporating prior...
We propose a new algorithm for network segmentation from very high resolution (VHR) remote sensing i...
One of the main difficulties in extracting line networks from images, and in particular road network...
We introduce a new class of active contour models that hold great promise for region and shape model...