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dc.contributor.authorKorsnes, Reinert
dc.contributor.authorWestrum, Karin
dc.contributor.authorFløistad, Erling
dc.contributor.authorKlingen, Ingeborg
dc.identifier.citationKorsnes, R., Westrum, K., Fløistad, E., & Klingen, I. (2016). Computer-assisted image processing to detect spores from the fungus Pandora neoaphidis. MethodsX, 3, 231-241.nb_NO
dc.description.abstractThis contribution demonstrates an example of experimental automatic image analysis to detect spores prepared on microscope slides derived from trapping. The application is to monitor aerial spore counts of the entomopathogenic fungus Pandora neoaphidis which may serve as a biological control agent for aphids. Automatic detection of such spores can therefore play a role in plant protection. The present approach for such detection is a modification of traditional manual microscopy of prepared slides, where autonomous image recording precedes computerised image analysis. The purpose of the present image analysis is to support human visual inspection of imagery data – not to replace it. The workflow has three components: • Preparation of slides for microscopy. • Image recording. • Computerised image processing where the initial part is, as usual, segmentation depending on the actual data product. Then comes identification of blobs, calculation of principal axes of blobs, symmetry operations and projection on a three parameter egg shape space.nb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleComputer-assisted image processing to detect spores from the fungus Pandora neoaphidisnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holder© 2016 The Authors. Published by Elsevier B.V.nb_NO

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal