Plant identification using local invariants;
| dc.authorscopusid | 56246719900 | |
| dc.authorscopusid | 35617171700 | |
| dc.authorscopusid | 56246232800 | |
| dc.contributor.author | Yildiran,S.T. | |
| dc.contributor.author | Yanikoglu,B. | |
| dc.contributor.author | Abdullah,E. | |
| dc.date.accessioned | 2024-05-25T12:32:00Z | |
| dc.date.available | 2024-05-25T12:32:00Z | |
| dc.date.issued | 2014 | |
| dc.department | Okan University | en_US |
| dc.department-temp | Yildiran S.T., Mühendislik Ve Doga Bilimleri Fakültesi, Sabanci Üniversitesi, Turkey; Yanikoglu B., Mühendislik Ve Doga Bilimleri Fakültesi, Sabanci Üniversitesi, Turkey; Abdullah E., Bilgisayar Mühendisliǧi Bölümü, Okan Üniversitesi, Turkey | en_US |
| dc.description.abstract | We present a plant image recognition system geared towards plants with flowers. The system uses local invariants with Dense SIFT features and Bag of Visual Words representation, while the classification is done using Support Vector Machines. Our approach contains a pre-classification stage where images are categorized into color subgroups, to reduce the complexity of the problem. Using a 161-class subset of the ImageClef'2013 flower dataset, the classification accuracy is measured as %42.68, compared to %18 eithout the pre-classification. © 2014 IEEE. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1109/SIU.2014.6830674 | |
| dc.identifier.endpage | 2097 | en_US |
| dc.identifier.isbn | 978-147994874-1 | |
| dc.identifier.scopus | 2-s2.0-84903761388 | |
| dc.identifier.startpage | 2094 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2014.6830674 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/2316 | |
| dc.language.iso | tr | |
| dc.publisher | IEEE Computer Society | en_US |
| dc.relation.ispartof | 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings -- 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 0 | |
| dc.subject | Bag of Visual Words (BOVW) | en_US |
| dc.subject | Dense SIFT | en_US |
| dc.subject | K Means Clustering | en_US |
| dc.subject | PHOW | en_US |
| dc.subject | SVMs | en_US |
| dc.title | Plant identification using local invariants; | en_US |
| dc.title.alternative | Yerel deǧişkenlerle bitki tanima | en_US |
| dc.type | Conference Object | en_US |