International audienceThis paper presents an algorithm to extract the boundary of a connected region(s) using classical topology definitions. From a given adjacency definition, the proposed method is able to extract the boundary of an object in a generic way, independently of the dimension of the digital space. Source Code The implementation of the algorithm is available through the DGtal library 1 . The source code and the demonstration are based on a special version of DGTal containing no external dependencies. They are both available on the IPOL web page of this article 2 . Supplementary Material The DGtalTools 3 project gives several additional tools exploiting the proposed algorithms. These tools are defined to process both 2D and 3D i...
This paper proposes a concise representation for the cells of n-dimensional finite regular grids: ea...
There exist several approaches to extract the boundary of a 3D image. Most of them represent the ext...
AbstractExisting theories on shape digitization impose strong constraints on admissible shapes, and ...
International audienceThis paper presents an algorithm to extract the boundary of a connected region...
Intuitively, a boundary in an N-dimensional digital space is a connected component of the (N − 1)-di...
International audienceThe extraction of a 3D topological map from an Oriented Boundary Graph can be ...
Boundary detection is a fundamental computer vision problem that is essential for a variety of tasks...
Abstract—Boundary detection is a fundamental computer vision problem that is essential for a variety...
This paper aims to extract salient closed contours from an image. For this vision task, both region ...
International audienceBoundary extraction and surface generation are important topological topics fo...
We present a method for region identification in multiple images. A set of regions in different imag...
In this paper, we define the two dimensional topological map, a model which rep-resents both topolog...
Extracting the boundary of a 3D or a 2D image is a fundamental operation in several image processing...
International audienceMost models of representation of a segmented image have been designed to perfo...
This paper presents a low-level system for boundary extraction and segmentation of natural images an...
This paper proposes a concise representation for the cells of n-dimensional finite regular grids: ea...
There exist several approaches to extract the boundary of a 3D image. Most of them represent the ext...
AbstractExisting theories on shape digitization impose strong constraints on admissible shapes, and ...
International audienceThis paper presents an algorithm to extract the boundary of a connected region...
Intuitively, a boundary in an N-dimensional digital space is a connected component of the (N − 1)-di...
International audienceThe extraction of a 3D topological map from an Oriented Boundary Graph can be ...
Boundary detection is a fundamental computer vision problem that is essential for a variety of tasks...
Abstract—Boundary detection is a fundamental computer vision problem that is essential for a variety...
This paper aims to extract salient closed contours from an image. For this vision task, both region ...
International audienceBoundary extraction and surface generation are important topological topics fo...
We present a method for region identification in multiple images. A set of regions in different imag...
In this paper, we define the two dimensional topological map, a model which rep-resents both topolog...
Extracting the boundary of a 3D or a 2D image is a fundamental operation in several image processing...
International audienceMost models of representation of a segmented image have been designed to perfo...
This paper presents a low-level system for boundary extraction and segmentation of natural images an...
This paper proposes a concise representation for the cells of n-dimensional finite regular grids: ea...
There exist several approaches to extract the boundary of a 3D image. Most of them represent the ext...
AbstractExisting theories on shape digitization impose strong constraints on admissible shapes, and ...