IMAGE PROCESSING APPROACH FOR FOREIGN MATERIAL DETECTION IN COTTON BUNDLE
Author:
Gültekin Elif1, Çelik Halil İbrahim1, Kaynak Hatice Kübra1, Zorlu S. Büşra1, Kertmen Mehmet2, Mert Faruk3
Affiliation:
1. GAZİANTEP ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, TEKSTİL MÜHENDİSLİĞİ BÖLÜMÜ 2. Iskur Tekstil Enerji Tic. ve San. A.S., Kahramanmaras, Turkey 3. Ankara Yıldırım Beyazıt University,Department of Computer Technology, Ankara, Turkey
Abstract
The image processing philosophy is mainly determined by the complexity of the image and provides the necessary information to be derived from the image. In the textile industry, the image processing technique focuses on the determination of the geometric properties of the fibers such as cross-sectional shape, diameter, length, fineness, and curl while the studies on the yarn characteristics mostly focus on the determination of yarn hairiness, yarn unevenness and yarn defects (thick place, thin place and neps). In this study, previous studies about image processing approaches that are applied for fiber characteristics were investigated. A case study was conducted to automatically determine the visible foreign matter in the waste cotton bundle that can be used for recycled cotton yarn production. It was revealed that the image processing methods can be successfully applied for foreign fiber and matter detection in cotton bundle. As a result, it is emphasized that the waste cotton properties can be specified with a sensitive and accurate approach via image processing technique, objective and numerical determination can be obtained instead of visual evaluation based on experience.
Funder
Scientific and Technological Research Council of Turkey
Publisher
UCTEA Chamber of Textile Engineers
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