MORPHOLOGICAL FEATURES FOR LEAF BASED PLANT RECOGNITION
| dc.authorid | Aptoula, Erchan/0000-0001-6168-2883 | |
| dc.authorid | Yanikoglu, Berrin/0000-0001-7403-7592 | |
| dc.authorwosid | Yanikoglu, Berrin/AAE-4843-2022 | |
| dc.authorwosid | Aptoula, Erchan/AAI-1070-2020 | |
| dc.contributor.author | Aptoula, E. | |
| dc.contributor.author | Yanikoglu, B. | |
| dc.date.accessioned | 2024-10-15T20:18:30Z | |
| dc.date.available | 2024-10-15T20:18:30Z | |
| dc.date.issued | 2013 | |
| dc.department | Okan University | en_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, Turkey | en_US |
| dc.description | Aptoula, Erchan/0000-0001-6168-2883; Yanikoglu, Berrin/0000-0001-7403-7592 | en_US |
| dc.description.abstract | Although 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.woscitationindex | Conference Proceedings Citation Index - Science | |
| dc.identifier.citationcount | 20 | |
| dc.identifier.endpage | 1499 | en_US |
| dc.identifier.isbn | 9781479923410 | |
| dc.identifier.issn | 1522-4880 | |
| dc.identifier.startpage | 1496 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/6384 | |
| dc.identifier.wos | WOS:000351597601121 | |
| dc.language.iso | en | |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 20th IEEE International Conference on Image Processing (ICIP) -- SEP 15-18, 2013 -- Melbourne, AUSTRALIA | en_US |
| dc.relation.ispartofseries | IEEE International Conference on Image Processing ICIP | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Plant recognition | en_US |
| dc.subject | feature extraction | en_US |
| dc.subject | mathematical morphology | en_US |
| dc.subject | morphological covariance | en_US |
| dc.subject | circular covariance histogram | en_US |
| dc.title | MORPHOLOGICAL FEATURES FOR LEAF BASED PLANT RECOGNITION | en_US |
| dc.type | Conference Object | en_US |
| dc.wos.citedbyCount | 20 |