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
This study focuses on biological numeric picture processes. It aims to define and implement new auto...
Measurements of various anatomical characteristics of wood cells are of great importance in research...
Background The identification of tropical African wood species based on microscopic imagery is a cha...
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...
The analysis of the intern anatomy of wood samples for species identification is a complex task that...
Wood anatomy is one of the most important methods for timber identification. However, training wood ...
This study focuses on biological numeric image processes. It aims to define and implement new automa...
Key message: Pattern recognition has become an important tool to aid in the identification and class...
The anatomical structure of wood is complex and contains considerable information about its specific...
This study focuses on biological numeric picture processes. It aims to define and implement new auto...
Measurements of various anatomical characteristics of wood cells are of great importance in research...
Background The identification of tropical African wood species based on microscopic imagery is a cha...
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...
The analysis of the intern anatomy of wood samples for species identification is a complex task that...
Wood anatomy is one of the most important methods for timber identification. However, training wood ...
This study focuses on biological numeric image processes. It aims to define and implement new automa...
Key message: Pattern recognition has become an important tool to aid in the identification and class...
The anatomical structure of wood is complex and contains considerable information about its specific...
This study focuses on biological numeric picture processes. It aims to define and implement new auto...
Measurements of various anatomical characteristics of wood cells are of great importance in research...
Background The identification of tropical African wood species based on microscopic imagery is a cha...