International audienceIn this paper, we present an automatic method to recognize cell files in light microscopic images of conifer wood. This original method is decomposed into three steps: the segmentation step which extracts some anatomical structures in the image, the classification step which identifies in these structures the interesting cells, and the cell files recognition step. Some preliminary results obtained on several species of conifers are presented and analyzed
Wood is one of Indonesia’s very rich natural resources abundant because the number reaches around 4,...
The recognition of wood species is needed is many areas like construction industry, furniture manufa...
The cuticles of 58 extant conifer species are examined using scanning electron microscopy (SEM) and ...
International audienceIn this paper, we present an automatic method to recognize cell files in light...
Automated analysis of wood anatomical sections is o f great interest in understanding the growth and...
International audienceBackground and Aims: Analysis of anatomical sections of wood provides importan...
Ce travail porte sur l'analyse d'images numériques biologiques. Il vise à définir et mettre en œuvre...
Quantitative wood anatomy (QWA) is a growing field of dendrochronology that allows obtaining a large...
Key message: Pattern recognition has become an important tool to aid in the identification and class...
Examination of wood sections using microscopy is often not very satisfactory for species identifcati...
Background The identification of tropical African wood species based on microscopic imagery is a cha...
Examination of wood sections using microscopy is often not very satisfactory for species identificat...
Measurements of anatomical parameters of wood are of great interest both for eco-physiological purpo...
The analysis of the intern anatomy of wood samples for species identification is a complex task that...
The proposed system identifies the species of the wood using the textural features present in its ba...
Wood is one of Indonesia’s very rich natural resources abundant because the number reaches around 4,...
The recognition of wood species is needed is many areas like construction industry, furniture manufa...
The cuticles of 58 extant conifer species are examined using scanning electron microscopy (SEM) and ...
International audienceIn this paper, we present an automatic method to recognize cell files in light...
Automated analysis of wood anatomical sections is o f great interest in understanding the growth and...
International audienceBackground and Aims: Analysis of anatomical sections of wood provides importan...
Ce travail porte sur l'analyse d'images numériques biologiques. Il vise à définir et mettre en œuvre...
Quantitative wood anatomy (QWA) is a growing field of dendrochronology that allows obtaining a large...
Key message: Pattern recognition has become an important tool to aid in the identification and class...
Examination of wood sections using microscopy is often not very satisfactory for species identifcati...
Background The identification of tropical African wood species based on microscopic imagery is a cha...
Examination of wood sections using microscopy is often not very satisfactory for species identificat...
Measurements of anatomical parameters of wood are of great interest both for eco-physiological purpo...
The analysis of the intern anatomy of wood samples for species identification is a complex task that...
The proposed system identifies the species of the wood using the textural features present in its ba...
Wood is one of Indonesia’s very rich natural resources abundant because the number reaches around 4,...
The recognition of wood species is needed is many areas like construction industry, furniture manufa...
The cuticles of 58 extant conifer species are examined using scanning electron microscopy (SEM) and ...