Fruit detection with binary partition trees;
| dc.authorscopusid | 57190744263 | |
| dc.authorscopusid | 23396161700 | |
| dc.authorscopusid | 35617171700 | |
| dc.contributor.author | Ozdemir,M.C. | |
| dc.contributor.author | Aptoula,E. | |
| dc.contributor.author | Yanikoglu,B. | |
| dc.date.accessioned | 2024-05-25T12:32:09Z | |
| dc.date.available | 2024-05-25T12:32:09Z | |
| dc.date.issued | 2016 | |
| dc.department | Okan University | en_US |
| dc.department-temp | Ozdemir M.C., Bilgisayar Mühendisliǧi Bölümü, Sabancl Üniversitesi, Istanbul, Turkey; Aptoula E., Bilgisayar Mühendisligi Bölümü, Okan Üniversitesi, Istanbul, Turkey; Yanikoglu B., Bilgisayar Mühendisliǧi Bölümü, Sabancl Üniversitesi, Istanbul, Turkey | en_US |
| dc.description.abstract | In this study, binary partition trees are applied to the problem of fruit detection. The fact that binary partition trees are inherently unbiased and independent of flatzones is the main reason for this application. Using only circularity from the shape priors, this system is put to test with 39 images of three classes of fruits and the test results show an average of 0.669 precision and 0.851 recall. © 2016 IEEE. | en_US |
| dc.identifier.citation | 0 | |
| dc.identifier.doi | 10.1109/SIU.2016.7496082 | |
| dc.identifier.endpage | 1688 | en_US |
| dc.identifier.isbn | 978-150901679-2 | |
| dc.identifier.scopus | 2-s2.0-84982856686 | |
| dc.identifier.startpage | 1685 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2016.7496082 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/2351 | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings -- 24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- Zonguldak -- 122605 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Binary Partition Trees | en_US |
| dc.subject | detection | en_US |
| dc.subject | fruit | en_US |
| dc.subject | segmentation | en_US |
| dc.subject | Shape priors | en_US |
| dc.title | Fruit detection with binary partition trees; | en_US |
| dc.title.alternative | Ikili bölüntü agaçlari ile meyve tespiti | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication |