Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Metin SABUNCU"'
Autor:
Metin Sabuncu, Hakan Ozdemir
Publikováno v:
Data in Brief, Vol 45, Iss , Pp 108719- (2022)
We record Optical coherence tomography (OCT) images of various textile fabrics. Each textile fabric consisted of one material only: wool, cotton or polyester. We took OCT images from three different fabrics for each material type giving a total of 9
Externí odkaz:
https://doaj.org/article/262d7e4971c24b8a8a91a1c071be76e0
Autor:
Metin Sabuncu, Hakan Ozdemir
Publikováno v:
International Journal of Optics, Vol 2021 (2021)
Classification of material type is crucial in the recycling industry since good quality recycling depends on the successful sorting of various materials. In textiles, the most commonly used fiber material types are wool, cotton, and polyester. When r
Externí odkaz:
https://doaj.org/article/80d3c8df7b714574ba7a5751bc9a9a1f
Publikováno v:
IEEE Photonics Journal, Vol 9, Iss 5, Pp 1-8 (2017)
Identifying the weave pattern of fabrics can be done manually or automatically. Carrying out the weave recognition automatically will reduce the procedure time and error rates since automatic systems can perform successive measurements at high speeds
Externí odkaz:
https://doaj.org/article/1fb3f518675f4e428d9314a9f352674a
Autor:
Metin Sabuncu, İsmail Yilmazlar
Publikováno v:
Research Ideas and Outcomes, Vol 2, Iss , Pp 1-5 (2016)
Externí odkaz:
https://doaj.org/article/f31f773045ab4cd782d5e696de742fb1
Autor:
Metin Sabuncu, Hakan Özdemir
Publikováno v:
The Journal of The Textile Institute. 113:713-717
Fabric thickness is an important parameter in textiles since it affects crucial fabric properties such as stiffness and thermal insulation. The standard method of measuring fabric thickness involves cutting the fabrics and applying pressure to compre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2015e760f9b2b8b88f8aa1af9b03a385
https://doi.org/10.1080/00405000.2021.1901457
https://doi.org/10.1080/00405000.2021.1901457
Autor:
Metin Sabuncu
Publikováno v:
Journal of the Japan Research Association for Textile End-Uses / Sen'i Seihin Shohi Kagaku; 2024, Vol. 65 Issue 6, p444-444, 1/6p
Autor:
Metin Sabuncu, Mete Akdoğan
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The goal of this study was to measure the thickness of egg shells without any contact and by utilizing a nondestructive method that sends infrared light beam on the egg. We obtain measurement resolutions on the order of 7 μm up to a penetration dept
Externí odkaz:
https://doaj.org/article/26080f57a4c7484e9bbe70c5313f5788
Autor:
Metin Sabuncu, Hakan Özdemir
Publikováno v:
Fibres and Textiles in Eastern Europe. 26:98-103
The recognition of woven fabric repeat by conventional techniques is labour intensive. In general, woven fabric repeat identification is accomplished automatically by employing complex algorithms and techniques. These algorithms may, however, occasio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a5d09ab4bfb28b73397c9f6baf9456b
https://doi.org/10.5604/01.3001.0011.7311
https://doi.org/10.5604/01.3001.0011.7311
Publikováno v:
IEEE Photonics Journal, Vol 9, Iss 5, Pp 1-8 (2017)
Identifying the weave pattern of fabrics can be done manually or automatically. Carrying out the weave recognition automatically will reduce the procedure time and error rates since automatic systems can perform successive measurements at high speeds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845696ab7460ec80171153e0a37fecfd
https://doi.org/10.1109/jphot.2017.2742148
https://doi.org/10.1109/jphot.2017.2742148
Autor:
Metin Sabuncu, Hakan Özdemir
Publikováno v:
The Journal of The Textile Institute. 107:1406-1411
Traditional methods involve extracting individual warp or weft yarns from the fabric in order to identify the weave repeat manually. This process can become tedious due to its manual nature. Therefore, automatic methods capable of identifying woven f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afee662733700121375c6da350ad49c5
https://doi.org/10.1080/00405000.2015.1114791
https://doi.org/10.1080/00405000.2015.1114791