Add to ORKGIn this paper we present a novel scheme for a very fast implementation of volumetric segmentation using graph cuts. The main benefit of this work is our approach to non-grid region adjacency processing on CUDA which to our knowledge has not been done yet in any efficient way. The watershed transform radically reduces the number of vertices for graph processing. Everything starting from watershed transformation and ending with graph cut was parallelized and is performed directly on the GPU
The advent of general purpose computing on graphics cards has led to significant software speedup in...
Image segmentation is an important process of image processing in the biomedical field. The method ...
In this paper, we present how 3D split and merge segmentation using topological and geometrical stru...
In this paper we present a novel scheme for a very fast implementation of volumetric segmentation us...
Title: Interactive Processing of Volumetric Data Author: Jan Kolomazník Department: Department of So...
In this paper we propose a novel approach to parallel image segmentation of volume images using the ...
The representation of an image as a flow network has gained an increased interest in research for th...
International audienceIn this paper, we discuss the use of graph-cuts to merge the re gions of the w...
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for...
The watershed transform is a popular image segmentation procedure from mathematical morphology used ...
In this paper, we discuss the use of graph-cuts to merge the regions of the watershed transform opti...
Abstract. Modern GPUs are well suited for performing image processing tasks. We utilize their high c...
Object extraction is a core component of computer vision with application to segmentation, tracking,...
An important aspect of designing a parallel algorithm is exploitation of the data locality for minim...
Abstract. Graph cuts have become very popular in many areas of com-puter vision including segmentati...
The advent of general purpose computing on graphics cards has led to significant software speedup in...
Image segmentation is an important process of image processing in the biomedical field. The method ...
In this paper, we present how 3D split and merge segmentation using topological and geometrical stru...
In this paper we present a novel scheme for a very fast implementation of volumetric segmentation us...
Title: Interactive Processing of Volumetric Data Author: Jan Kolomazník Department: Department of So...
In this paper we propose a novel approach to parallel image segmentation of volume images using the ...
The representation of an image as a flow network has gained an increased interest in research for th...
International audienceIn this paper, we discuss the use of graph-cuts to merge the re gions of the w...
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for...
The watershed transform is a popular image segmentation procedure from mathematical morphology used ...
In this paper, we discuss the use of graph-cuts to merge the regions of the watershed transform opti...
Abstract. Modern GPUs are well suited for performing image processing tasks. We utilize their high c...
Object extraction is a core component of computer vision with application to segmentation, tracking,...
An important aspect of designing a parallel algorithm is exploitation of the data locality for minim...
Abstract. Graph cuts have become very popular in many areas of com-puter vision including segmentati...
The advent of general purpose computing on graphics cards has led to significant software speedup in...
Image segmentation is an important process of image processing in the biomedical field. The method ...
In this paper, we present how 3D split and merge segmentation using topological and geometrical stru...