Development of an Automatic Pollen Classification System

This research applied image processing and machine learning techniques to develop an automatic process for the identification of 5 pollen species using images from a digital microscope.

Identifier
DOI https://doi.org/10.17026/dans-zpr-rjm6
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-hi9d-9p
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:62234
Provenance
Creator Chudyk, C.
Publisher i3mainz
Contributor Chudyk, C.
Publication Year 2015
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format tif; pdf; txt
Discipline Life Sciences; Medicine
Spatial Coverage Europe