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Proceedings Paper

Histologic labeling of seeds by multivariate fluorescence imaging
Author(s): Bruno Novales; Dominique Bertrand
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Paper Abstract

In the present work, a method for the identification of kernel tissue in cross-sections, based on their natural fluorescence properties is presented. The method involved a multivariate fluorescence video imaging system. The system made it possible to record sequences of images by changing the spectral conditions. Each tissue was characterized on the images by varying fluorescence properties. The images were linearly combined and the most discriminant images for the identification of the tissue were selected by stepwise discriminant analysis. Images were labeled according to the nature of the tissues by attributing to each pixel of a sequence of images a qualitative group number corresponding to each tissue. On these segmented images, more than 98.8 percent of the pixels were correctly identified.

Paper Details

Date Published: 14 January 1999
PDF: 7 pages
Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); doi: 10.1117/12.336878
Show Author Affiliations
Bruno Novales, Institut National de la Recherche Agronomique (France)
Dominique Bertrand, Institut National de la Recherche Agronomique (France)

Published in SPIE Proceedings Vol. 3543:
Precision Agriculture and Biological Quality
George E. Meyer; James A. DeShazer, Editor(s)

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