Histologic labeling of seeds by multivariate fluorescence imaging

Bruno Novales; Dominique Bertrand

doi:10.1117/12.336878

14 January 1999 Histologic labeling of seeds by multivariate fluorescence imaging

Bruno Novales, Dominique Bertrand

Proceedings Volume 3543, Precision Agriculture and Biological Quality; (1999) https://doi.org/10.1117/12.336878
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

Bruno Novales and Dominique Bertrand "Histologic labeling of seeds by multivariate fluorescence imaging", Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); https://doi.org/10.1117/12.336878

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