A model based on local graphs to classify pixels coming from at or detail regions of an image is presented. For each pixel a local graph is dened. Its structure will depend on the similarity between neighbouring pixels. Its features allow us to classify each image pixel as belonging to one type of region or the other. This classication is an essential pre-processing technique for many Computer Vision tools, such as smoothingor sharpening of digital color images
We review multilevel hierarchies under the special aspect of their potential for segmentation and gr...
A new representation for objects with multiple colours - the colour adjacency graph (CAG) - is propo...
This work presents an automated segmentation method, based on graph theory, which processes superpix...
A color image segmentation algorithm based on region growing is presented. Each region is characteri...
International audienceThe detection and classification of local structures (i.e., edges, corners, an...
[EN] A model based on local graphs to classify pixels coming from at or detail regions of an image i...
[EN] In this paper, a new model for processing colour images is presented. A graph is built for each...
The detection and classification of local structures (i.e. edges, corners, and T-Junctions) in color...
International audienceIn this work we present an approach for color image segmentation based on pixe...
The possibilities of the segmentation of regions of interest on locally homogeneous scenes using som...
The ability to characterize the color content of natural imagery is an important application of imag...
This paper discusses the problem of trying to distinguish multi-coloured objects which share similar...
International audienceA new method for color texture characterization and color texture region detec...
Images contain information and the aim of digital image processing is generally to make the extracti...
Many approaches to image classification tend to transform an image into an unstructured set of numer...
We review multilevel hierarchies under the special aspect of their potential for segmentation and gr...
A new representation for objects with multiple colours - the colour adjacency graph (CAG) - is propo...
This work presents an automated segmentation method, based on graph theory, which processes superpix...
A color image segmentation algorithm based on region growing is presented. Each region is characteri...
International audienceThe detection and classification of local structures (i.e., edges, corners, an...
[EN] A model based on local graphs to classify pixels coming from at or detail regions of an image i...
[EN] In this paper, a new model for processing colour images is presented. A graph is built for each...
The detection and classification of local structures (i.e. edges, corners, and T-Junctions) in color...
International audienceIn this work we present an approach for color image segmentation based on pixe...
The possibilities of the segmentation of regions of interest on locally homogeneous scenes using som...
The ability to characterize the color content of natural imagery is an important application of imag...
This paper discusses the problem of trying to distinguish multi-coloured objects which share similar...
International audienceA new method for color texture characterization and color texture region detec...
Images contain information and the aim of digital image processing is generally to make the extracti...
Many approaches to image classification tend to transform an image into an unstructured set of numer...
We review multilevel hierarchies under the special aspect of their potential for segmentation and gr...
A new representation for objects with multiple colours - the colour adjacency graph (CAG) - is propo...
This work presents an automated segmentation method, based on graph theory, which processes superpix...