This work takes place in the context of Milena, the C++ generic image processing library of the Olena platform, developed at LRDE. Morphological algorithms are one of Milena’s major assets. Yet few image processing libraries implement them even though they are very useful. Those algorithms require supre-mum and infimum operators, which don’t exist by default for composite types like red-green-blue (RGB) pixels. We therefore propose the implementation of those operators for RGB values, along with a complete toolchain allowing morphological algorithms to work on color images. Les algorithmes morphologiques sont l’un des atouts majeurs de Milena, bibliothèque de traitement d’images générique et performante développée au LRDE. En effet, ils son...
A system for automatically generating simple morphological set-recognition algorithms is described a...
Morphological operators are nonlinear transformations commonly used in image processing. Their theor...
The use of mathematical morphology in low and mid-level image processing and computer vision applica...
International audienceWe present a programming framework for discrete mathematical morphology center...
This paper addresses the problem of the extension of morphological operators to the case of color im...
International audienceMathematical morphology is a powerful tool for image filtering, segmentation a...
Morphological image processing is well known as an efficient method in image processing and computer...
Morphological image processing is well known as an efficient methodology for image processing and co...
International audienceMathematical morphology is a powerful tool for filtering, segmentation and tex...
This thesis deals with the algorithms of Mathematical Morphology that can consider the pixels of an ...
The subject of this paper is the semantically based postprocessing of color–coded images such as cla...
International audienceIn this paper we propose to use the classic framework of a morphological segme...
125 p.Mathematical Morphology is a powerful nonlinear image processing tool and is widely used in im...
L'extension de la morphologie mathématique au domaine de la couleur ou du multi/hyperspectral en tra...
This thesis presents the recently developed image morphology techniques including the algorithms in ...
A system for automatically generating simple morphological set-recognition algorithms is described a...
Morphological operators are nonlinear transformations commonly used in image processing. Their theor...
The use of mathematical morphology in low and mid-level image processing and computer vision applica...
International audienceWe present a programming framework for discrete mathematical morphology center...
This paper addresses the problem of the extension of morphological operators to the case of color im...
International audienceMathematical morphology is a powerful tool for image filtering, segmentation a...
Morphological image processing is well known as an efficient method in image processing and computer...
Morphological image processing is well known as an efficient methodology for image processing and co...
International audienceMathematical morphology is a powerful tool for filtering, segmentation and tex...
This thesis deals with the algorithms of Mathematical Morphology that can consider the pixels of an ...
The subject of this paper is the semantically based postprocessing of color–coded images such as cla...
International audienceIn this paper we propose to use the classic framework of a morphological segme...
125 p.Mathematical Morphology is a powerful nonlinear image processing tool and is widely used in im...
L'extension de la morphologie mathématique au domaine de la couleur ou du multi/hyperspectral en tra...
This thesis presents the recently developed image morphology techniques including the algorithms in ...
A system for automatically generating simple morphological set-recognition algorithms is described a...
Morphological operators are nonlinear transformations commonly used in image processing. Their theor...
The use of mathematical morphology in low and mid-level image processing and computer vision applica...