Selection of Norway spruce somatic embryos by computer vision

Jari Hämäläinen, Kari Jokinen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    A computer vision system was developed for the classification of plant somatic embryos. The embryos are in a Petri dish that is transferred with constant speed and they are recognized as they pass a line scan camera. A classification algorithm needs to be installed for every plant species. This paper describes an algorithm for the recognition of Norway spruce (Picea abies) embryos. A short review of conifer micropropagation by somatic embryogenesis is also given. The recognition algorithm is based on features calculated from the boundary of the object. Only part of the boundary corresponding to the developing cotyledons (2 - 15) and the straight sides of the embryo are used for recognition. An index of the length of the cotyledons describes the developmental stage of the embryo. The testing set for classifier performance consisted of 118 embryos and 478 nonembryos. With the classification tolerances chosen 69% of the objects classified as embryos by a human classifier were selected and 31$% rejected. Less than 1% of the nonembryos were classified as embryos. The basic features developed can probably be easily adapted for the recognition of other conifer somatic embryos.
    Original languageEnglish
    Title of host publicationOptics in Agriculture and Forestry
    PublisherInternational Society for Optics and Photonics SPIE
    Publication statusPublished - 1992
    MoE publication typeA4 Article in a conference publication
    EventOptics in Agriculture and Forestry - Boston, United States
    Duration: 16 Nov 199216 Nov 1992

    Publication series

    SeriesProceedings of SPIE


    ConferenceOptics in Agriculture and Forestry
    Country/TerritoryUnited States


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