Add to ORKGInternational audienceWe present a programming framework for discrete mathematical morphology centered on the concept of genericity. We show that formal definitions of morphological algorithms can be translated into actual code, usable on virtually any kind of compatible images, provided a general definition of the concept of image is given. This work is implemented in Milena, a generic, efficient, and user-friendly image processing library
This paper deals with the implementation of algorithms in the specific domain of image processing. A...
Morphological operators are nonlinear transformations commonly used in image processing. Their theor...
This thesis presents the recently developed image morphology techniques including the algorithms in ...
International audienceWe present a programming framework for discrete mathematical morphology center...
This work takes place in the context of Milena, the C++ generic image processing library of the Olen...
A short introduction to Mathematical Morphology is given. Based upon morphological elementary transf...
A system for automatically generating simple morphological set-recognition algorithms is described a...
Mathematical morphology stems from set theory and it makes use of properties of point sets. The firs...
This thesis deals with efficient algorithms for morphological image processing. Each chapter deals w...
This thesis deals with the algorithms of Mathematical Morphology that can consider the pixels of an ...
In this chapter, we deal with the very important implementation problem of various image analysis op...
Motivation: Mathematical morphology (MM) provides many powerful operators for processing 2D and 3D i...
The aim of this thesis is to examine some aspects of mathematical morphology from special viewpoints...
The subject of this paper ist the semantically baswed postprocessing of color-coded images such as c...
The subject of this paper is the semantically based postprocessing of color–coded images such as cla...
This paper deals with the implementation of algorithms in the specific domain of image processing. A...
Morphological operators are nonlinear transformations commonly used in image processing. Their theor...
This thesis presents the recently developed image morphology techniques including the algorithms in ...
International audienceWe present a programming framework for discrete mathematical morphology center...
This work takes place in the context of Milena, the C++ generic image processing library of the Olen...
A short introduction to Mathematical Morphology is given. Based upon morphological elementary transf...
A system for automatically generating simple morphological set-recognition algorithms is described a...
Mathematical morphology stems from set theory and it makes use of properties of point sets. The firs...
This thesis deals with efficient algorithms for morphological image processing. Each chapter deals w...
This thesis deals with the algorithms of Mathematical Morphology that can consider the pixels of an ...
In this chapter, we deal with the very important implementation problem of various image analysis op...
Motivation: Mathematical morphology (MM) provides many powerful operators for processing 2D and 3D i...
The aim of this thesis is to examine some aspects of mathematical morphology from special viewpoints...
The subject of this paper ist the semantically baswed postprocessing of color-coded images such as c...
The subject of this paper is the semantically based postprocessing of color–coded images such as cla...
This paper deals with the implementation of algorithms in the specific domain of image processing. A...
Morphological operators are nonlinear transformations commonly used in image processing. Their theor...
This thesis presents the recently developed image morphology techniques including the algorithms in ...