Texture classification using scale invariant feature transform and Bag-of-Words
| dc.contributor.author | Budak, Umit | |
| dc.contributor.author | Sengur, Abdulkadir | |
| dc.date.accessioned | 2026-08-12T16:08:31Z | |
| dc.date.issued | 2015 | |
| dc.department | Fırat Üniversitesi | |
| dc.description | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- Malatya -- 113052 | |
| dc.description.abstract | Texture images can be characterized with key features extracted from images. In this way, they can be qualified with distinctive features. In this paper, a featurebased approach is presented for texture classification using Scale Invariant Feature Transform (SIFT) and Bag of Words (BoW) methods. The SIFT method is preferred because the features obtained by this method are invariant against such cases of rotation, angle of camera, ambient light intensity. UIUCTex and KTH-TIPS2-a data sets are selected which are widely used for classification. A success rate of 91.2% was obtained for the data set UIUCTex. This rate was determined as 72.1% for the data set KTH-TIPS2-a. © 2015 IEEE. | |
| dc.identifier.doi | 10.1109/SIU.2015.7130323 | |
| dc.identifier.endpage | 155 | |
| dc.identifier.isbn | 978-146737386-9 | |
| dc.identifier.scopus | 2-s2.0-84939182009 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 152 | |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2015.7130323 | |
| dc.identifier.uri | https://hdl.handle.net/11508/41248 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20260511 | |
| dc.subject | Bag of words (BoW); K-means; Scale invariant feature transfrom (SIFT); Support vector machine (SVM); Texture classification | |
| dc.title | Texture classification using scale invariant feature transform and Bag-of-Words | |
| dc.title.alternative | Ölçekten Ba?imsiz Özellik Dönüşümü ve Kelime Çantasi Yöntemleri ile Doku Siniflandirmasi | |
| dc.type | Conference Object |
