Image Processing Applications on Yarn Characteristics and Fault Inspection

Q4 Materials Science

Journal of Textile Engineering Pub Date : 2019-12-31 DOI:10.7216/1300759920192611605

E. Gülteki̇n, H. Çelik, L. Dülger, Halil İbrahim Sünbül, Harun Kani

引用次数: 3

Abstract

Makine gorusu ve otomasyon teknolojilerindeki yeni gelismeler, uretim hattinin her asamasinda daha hassas bir surec kontrolu ve kalite denetimi saglamaktadir. Endustri 4.0 ve Goruntu Isleme teknikleri, son on yilda tekstil endustrisindeki bircok alanda kullanilmistir. Goruntu isleme teknikleri, tekstil endustrisinde, elyaf, iplik ve kumas ozelliklerinin gelismis dogruluk ve daha hizli sonuclarla otomatik olarak algilanmasinda da kullanilmistir. Bu calismada, iplik bobini ve kumas abraj kusurunun otomatik belirlenmesi icin bir makine gorme sistemi sunulmustur. Prototip sistem bilesenleri aciklanmistir. Gelistirilen goruntu isleme algoritmasi abraj hatasi iceren farkli bobin ve kumas orneklerine uygulanir. Olusturulan yapay gorme sisteminin basarisi burada tartisilmaktadir.

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图像处理在纱线特性及故障检测中的应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Textile Engineering Materials Science-Materials Science (all)

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： Journal of Textile Engineering (JTE) is a peer-reviewed, bimonthly journal in English and Japanese that includes articles related to science and technology in the textile and textile machinery fields. It publishes research works with originality in textile fields and receives high reputation for contributing to the advancement of textile science and also to the innovation of textile technology.