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

    Abstract

    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
    Pages195-205
    DOIs
    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
    Volume1836

    Conference

    ConferenceOptics in Agriculture and Forestry
    CountryUnited States
    CityBoston
    Period16/11/9216/11/92

    Fingerprint

    computer vision
    somatic embryos
    embryo (plant)
    Picea abies
    taxonomy
    conifers
    cotyledons
    micropropagation
    somatic embryogenesis
    cameras
    developmental stages

    Cite this

    Hämäläinen, J., & Jokinen, K. (1992). Selection of Norway spruce somatic embryos by computer vision. In Optics in Agriculture and Forestry (pp. 195-205). International Society for Optics and Photonics SPIE. Proceedings of SPIE, Vol.. 1836 https://doi.org/10.1117/12.144028
    Hämäläinen, Jari ; Jokinen, Kari. / Selection of Norway spruce somatic embryos by computer vision. Optics in Agriculture and Forestry. International Society for Optics and Photonics SPIE, 1992. pp. 195-205 (Proceedings of SPIE, Vol. 1836).
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    title = "Selection of Norway spruce somatic embryos by computer vision",
    abstract = "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.",
    author = "Jari H{\"a}m{\"a}l{\"a}inen and Kari Jokinen",
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    Hämäläinen, J & Jokinen, K 1992, Selection of Norway spruce somatic embryos by computer vision. in Optics in Agriculture and Forestry. International Society for Optics and Photonics SPIE, Proceedings of SPIE, vol. 1836, pp. 195-205, Optics in Agriculture and Forestry, Boston, United States, 16/11/92. https://doi.org/10.1117/12.144028

    Selection of Norway spruce somatic embryos by computer vision. / Hämäläinen, Jari; Jokinen, Kari.

    Optics in Agriculture and Forestry. International Society for Optics and Photonics SPIE, 1992. p. 195-205 (Proceedings of SPIE, Vol. 1836).

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

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    Hämäläinen J, Jokinen K. Selection of Norway spruce somatic embryos by computer vision. In Optics in Agriculture and Forestry. International Society for Optics and Photonics SPIE. 1992. p. 195-205. (Proceedings of SPIE, Vol. 1836). https://doi.org/10.1117/12.144028