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Evaluation of plant histology by automatic clustering based on individual cell morphological featuresGuillemin, Florence ; Deavux, Marie-Françoise ; Guillon, FabienneA procedure has been developed for the automatic clustering of plant cells observed by confocal microscopy. The contribution of cell morphological features to reveal histological regions has been ... investigated. Several adjacent images were acquired to visualise a representative region of the sample and a mosaic image was built. The cell size and shape and the cell wallthickness were quantified. The extracted features were used to automatically classify the cells into morphological groups. The technique madeit possible to split the cell population into 8 groups mainly corresponding to histological regions of beet root.Vir: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 23, no. 1, mar. 2004, str. 13-22)Vrsta gradiva - članek, sestavni delLeto - 2004Jezik - angleškiCOBISS.SI-ID - 20714713
Avtor
Guillemin, Florence |
Deavux, Marie-Françoise |
Guillon, Fabienne
Teme
Plants |
Cytology |
Cell Wall |
Cell Size |
Cluster Analysis |
Image Processing, Computer-Assisted |
Celica, velikost |
Celična stena |
Rastline |
Skupek, analiza |
Slika, obdelava z računalnikom |
rastline |
celice |
histologija |
morfologija |
stereologija |
analiza slik
vir: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 23, no. 1, mar. 2004, str. 13-22)
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Guillemin, Florence | |
Deavux, Marie-Françoise | |
Guillon, Fabienne |
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