Automatic Recognition of Light Microscope Pollen Images

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dc.contributor.authorAllen, Garyen_US
dc.contributor.authorHodgson, Boben_US
dc.contributor.authorMarsland, Stephenen_US
dc.contributor.authorArnold, Gregen_US
dc.contributor.authorFlemmer, Roryen_US
dc.contributor.authorFlenley, Johnen_US
dc.contributor.authorFountain, Daviden_US
dc.date.accessioned2007-05-21T23:25:55Zen_US
dc.date.accessioned2007-11-25T22:34:32Z
dc.date.accessioned2016-03-06T22:24:35Z
dc.date.accessioned2016-09-07T13:57:05Z
dc.date.available2007-02-22en_US
dc.date.available2007-05-21T23:25:55Zen_US
dc.date.available2007-11-25T22:34:32Z
dc.date.available2016-03-06T22:24:35Z
dc.date.available2016-09-07T13:57:05Z
dc.date.issued2006en_US
dc.description.abstractThis paper is a progress report on a project aimed at the realization of a low-cost, automatic, trainable system "AutoStage" for recognition and counting of pollen. Previous work on image feature selection and classification has been extended by design and integration of an XY stage to allow slides to be scanned, an auto focus system, and segmentation software. The results of a series of classification tests are reported, and verified by comparison with classification performance by expert palynologists. A number of technical issues are addressed, including pollen slide preparation and slide sampling protocols.en_US
dc.format.mediumapplication/pdfen_US
dc.identifier.harvestedMassey_Dark
dc.identifier.harvestedMassey_Darken_US
dc.identifier.urihttp://hdl.handle.net/10179/9622
dc.publisherMassey Universityen_US
dc.relation.isbasedonImage Vision and Computing New Zealand 2006, IVCNZ 06 proceedings pp355-360en_US
dc.relation.isformatofhttp://autopollen.massey.ac.nzen_US
dc.subject.classificationPollen recognitionen_US
dc.subject.classificationClassificationen_US
dc.subject.classificationPalynologyen_US
dc.subject.classificationMicroscopyen_US
dc.subject.classificationNeural networksen_US
dc.subject.classificationImage processingen_US
dc.subject.classificationSegmentationen_US
dc.titleAutomatic Recognition of Light Microscope Pollen Imagesen_US
dc.typeJournal Articleen_US
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