MORPHOLOGICAL FEATURES FOR LEAF BASED PLANT RECOGNITION

dc.authoridAptoula, Erchan/0000-0001-6168-2883
dc.authoridYanikoglu, Berrin/0000-0001-7403-7592
dc.authorwosidYanikoglu, Berrin/AAE-4843-2022
dc.authorwosidAptoula, Erchan/AAI-1070-2020
dc.contributor.authorAptoula, E.
dc.contributor.authorYanikoglu, B.
dc.date.accessioned2024-10-15T20:18:30Z
dc.date.available2024-10-15T20:18:30Z
dc.date.issued2013
dc.departmentOkan Universityen_US
dc.department-temp[Aptoula, E.] Okan Univ, Dept Comp Engn, TR-34959 Istanbul, Turkey; [Yanikoglu, B.] Sabanci Univ, Dept Comp Engn, TR-34956 Istanbul, Turkeyen_US
dc.descriptionAptoula, Erchan/0000-0001-6168-2883; Yanikoglu, Berrin/0000-0001-7403-7592en_US
dc.description.abstractAlthough plant recognition has become an increasingly popular research topic, it remains nonetheless a scientific and technical challenge. Besides all the difficulties of classic object recognition, such as illumination, viewpoint and scale variations, plants can additionally exhibit visual changes depending on their age and condition, thus demanding a specialized approach. In this paper, we present two descriptors based on mathematical morphology; the first consists of the computation of morphological covariance on the leaf contour profile and the second is an extension of the recently introduced circular covariance histogram, capturing leaf venation characteristics. The effectiveness of both descriptors has been validated with the ImageClef' 12 plant identification dataset.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation20
dc.identifier.doi[WOS-DOI-BELIRLENECEK-213]
dc.identifier.endpage1499en_US
dc.identifier.isbn9781479923410
dc.identifier.issn1522-4880
dc.identifier.startpage1496en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14517/6384
dc.identifier.wosWOS:000351597601121
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof20th IEEE International Conference on Image Processing (ICIP) -- SEP 15-18, 2013 -- Melbourne, AUSTRALIAen_US
dc.relation.ispartofseriesIEEE International Conference on Image Processing ICIP
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPlant recognitionen_US
dc.subjectfeature extractionen_US
dc.subjectmathematical morphologyen_US
dc.subjectmorphological covarianceen_US
dc.subjectcircular covariance histogramen_US
dc.titleMORPHOLOGICAL FEATURES FOR LEAF BASED PLANT RECOGNITIONen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

Files