FLORES : identifying flowers by image content

H.J. van de Zedde, G.W.A.M. van der Heijden, L.C.P. Keizer

    Research output: Contribution to conference › Poster

    Abstract

    For auctions and plant variety testing, flowers need to be identified and compared. This is typically done by an expert. We try to develop a system to automatically compare an image of a flower with stored images of known varieties and retrieve the most similar ones. Spectral imaging allows calibration, making flower color invariant of recording equipment. Using simple similarity measures, spectral images of flowers proved to be superior to RGB images. The aim is to develop feature descriptors and similarity measures that will further increase the precision and recall of FLORES
    Original languageEnglish
    Publication statusPublished - 2007

    Keywords

    • multispectral imagery
    • spectral analysis
    • principal component analysis
    • quality
    • traits
    • roses
    • imaging spectroscopy
    • pattern recognition
    • external traits

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