The watershed segmentation is a popular tool in image pro-cessing. Starting from an initial map, the border thinning transformation produces a map whose minima constitute the catchment basins of the watershed of the initial map. An inter-esting feature of the transformed map (called border kernel) is to convey not only the watershed partition but also numeric in-formation relative to the initial map. In this paper, we provide the space of all border kernels with a semi lattice and pro-pose morphological operations (relative to this lattice) which allow for merging border kernels and building hierarchies of watersheds based in particular on connected filters. Index Terms — Watershed, border kernels, lattice, hierar-chies, data merging, mathe...
This paper presents and discusses different approaches to extend the watershed transform, which is t...
Abstract — A grey-level image may be visualized as a topographic relief, where the grey-level of a p...
Segmentation is a classical problem in image processing that has been an active research topic for m...
International audienceMathematical morphology has developed a powerful methodology for segmenting im...
International audienceWe recently introduced the watershed cuts, a notion of watershed in edge-weigh...
International audienceThe computation of hierarchies of partitions from the watershed transform is a...
International audienceWatershed technique from mathematical morphology (MM) is one of the most widel...
The watershed transformation is a mid-level operation used in morphological image segmentation. Tech...
A hybrid image segmentation algorithm is proposed which combines edge- and region-based techniques t...
The watershed transform is the method of choice for image segmentation in the field of mathematical ...
56 pagesMorphological image processing uses two types of trees. The min-tree represents the relation...
We propose an original approach to the watershed problem, based on topology. We introduce a "on...
The watershed transform is the method of choice for image segmentation in the field of mathematical ...
The parallel watershed transformation used in gray-scale image segmentation is here augmented to per...
A novel model of image segmentation based on watershed method is proposed in this paper. To prevent ...
This paper presents and discusses different approaches to extend the watershed transform, which is t...
Abstract — A grey-level image may be visualized as a topographic relief, where the grey-level of a p...
Segmentation is a classical problem in image processing that has been an active research topic for m...
International audienceMathematical morphology has developed a powerful methodology for segmenting im...
International audienceWe recently introduced the watershed cuts, a notion of watershed in edge-weigh...
International audienceThe computation of hierarchies of partitions from the watershed transform is a...
International audienceWatershed technique from mathematical morphology (MM) is one of the most widel...
The watershed transformation is a mid-level operation used in morphological image segmentation. Tech...
A hybrid image segmentation algorithm is proposed which combines edge- and region-based techniques t...
The watershed transform is the method of choice for image segmentation in the field of mathematical ...
56 pagesMorphological image processing uses two types of trees. The min-tree represents the relation...
We propose an original approach to the watershed problem, based on topology. We introduce a "on...
The watershed transform is the method of choice for image segmentation in the field of mathematical ...
The parallel watershed transformation used in gray-scale image segmentation is here augmented to per...
A novel model of image segmentation based on watershed method is proposed in this paper. To prevent ...
This paper presents and discusses different approaches to extend the watershed transform, which is t...
Abstract — A grey-level image may be visualized as a topographic relief, where the grey-level of a p...
Segmentation is a classical problem in image processing that has been an active research topic for m...