Morphological features for leaf based plant recognition

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dc.authorscopusid23396161700
dc.authorscopusid35617171700
dc.contributor.authorAptoula,E.
dc.contributor.authorYanikoglu,B.
dc.date.accessioned2024-05-25T12:31:35Z
dc.date.available2024-05-25T12:31:35Z
dc.date.issued2013
dc.departmentOkan Universityen_US
dc.department-tempAptoula E., Okan University, Computer Engineering Department, 34959, Istanbul, Turkey; Yanikoglu B., Sabanci University, Computer Engineering Department, 34956, Istanbul, Turkeyen_US
dc.descriptionThe Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Societyen_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. © 2013 IEEE.en_US
dc.identifier.citation39
dc.identifier.doi10.1109/ICIP.2013.6738307
dc.identifier.endpage1499en_US
dc.identifier.isbn978-147992341-0
dc.identifier.scopus2-s2.0-84897798384
dc.identifier.startpage1496en_US
dc.identifier.urihttps://doi.org/10.1109/ICIP.2013.6738307
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2301
dc.language.isoen
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartof2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings -- 2013 20th IEEE International Conference on Image Processing, ICIP 2013 -- 15 September 2013 through 18 September 2013 -- Melbourne, VIC -- 115163en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcircular covariance histogramen_US
dc.subjectfeature extractionen_US
dc.subjectmathematical morphologyen_US
dc.subjectmorphological covarianceen_US
dc.subjectPlant recognitionen_US
dc.titleMorphological features for leaf based plant recognitionen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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