A new method of characterising the morphology of disordered systems is presented based on the evolution of a family of integral geometric measures during erosion and dilation operations. The method is used to determine the accuracy of model reconstructions of random systems. It is shown that the use of erosion/dilation operations on the original image leads to an accurate discrimination of morphology. We consider the morphology of an experimental system and use the method to optimally match a reconstructed model morphology
This study introduces an interactive image segmentation algorithm for extraction of ill-defined edge...
In 2001 Prof. Mario Costa proposed a methodology for the statistical identification of three dimensi...
In the framework of the Silent Wall ANR project, the CMM and the US2B are associated in order to cha...
A new method of characterising the morphology of disordered systems is presented based on the evolut...
Abstract. We introduce Minkowski functionals to characterise, reconstruct and discriminate dif-feren...
In this paper we review the basic concepts of integral-geometry-based morphological image analysis. ...
Materials and biological microstructures show heterogeneity at various scales, which can be handled ...
This paper reviews a general method to characterize the morphology of two- and three-dimensional pat...
This thesis deals with the application of mathematical morphology to images of some kind of structur...
This study consists on the application of mathematical morphology to study and to represent structur...
We first examine the measurements one can perform on the space of compact and convex sets. A famous...
We describe a morphological image analysis method to characterize spatial patterns in terms of geome...
We show that for the Boolean model of random composite media one can, from a single image of a syste...
We present a morphological approach to the reconstruction of fine branching structures in three dime...
International audienceThis book covers methods of Mathematical Morphology to model and simulate rand...
This study introduces an interactive image segmentation algorithm for extraction of ill-defined edge...
In 2001 Prof. Mario Costa proposed a methodology for the statistical identification of three dimensi...
In the framework of the Silent Wall ANR project, the CMM and the US2B are associated in order to cha...
A new method of characterising the morphology of disordered systems is presented based on the evolut...
Abstract. We introduce Minkowski functionals to characterise, reconstruct and discriminate dif-feren...
In this paper we review the basic concepts of integral-geometry-based morphological image analysis. ...
Materials and biological microstructures show heterogeneity at various scales, which can be handled ...
This paper reviews a general method to characterize the morphology of two- and three-dimensional pat...
This thesis deals with the application of mathematical morphology to images of some kind of structur...
This study consists on the application of mathematical morphology to study and to represent structur...
We first examine the measurements one can perform on the space of compact and convex sets. A famous...
We describe a morphological image analysis method to characterize spatial patterns in terms of geome...
We show that for the Boolean model of random composite media one can, from a single image of a syste...
We present a morphological approach to the reconstruction of fine branching structures in three dime...
International audienceThis book covers methods of Mathematical Morphology to model and simulate rand...
This study introduces an interactive image segmentation algorithm for extraction of ill-defined edge...
In 2001 Prof. Mario Costa proposed a methodology for the statistical identification of three dimensi...
In the framework of the Silent Wall ANR project, the CMM and the US2B are associated in order to cha...