Automatic characterization of the cell organization in light microscopic images of wood: Application to the identification of the cell file

Proceedings - 2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2012

Volumn , Issue , 2012, Pages 58-65

  Brunel, Guilhem ^a,b   Borianne, Philippe ^b   Subsol, Gerard ^c   Jaeger, Marc ^b   Caraglio, Yves ^b  

^a UNIV MONTPELLIER   (France)

^b UMR AMAP   (France)

^c LIRMM   (France)

Author keywords

cell segmentation; file identification; Image processing; pattern recognition; wood microscopic images

Indexed keywords

AUTOMATED ANALYSIS; BIOLOGICAL CHARACTERISTIC; CELL CLASSIFICATION; CELL SEGMENTATION; GEOMETRICAL CHARACTERS; GROWTH AND DEVELOPMENT; MICROSCOPIC IMAGE; SUPERVISED METHODS;

CELL CULTURE; CELLS; DECISION TREES; PATTERN RECOGNITION; QUALITY CONTROL; VISUALIZATION; WOOD;

IMAGE PROCESSING;

IMAGE ANALYSIS; PATTERN RECOGNITION; QUALITY CONTROL; TISSUE CULTURE; WOOD;

EID: 84879642646     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PMA.2012.6524813     Document Type: Conference Paper

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