IMAGE PROCESSING APPROACH FOR FOREIGN MATERIAL DETECTION IN COTTON BUNDLE

Year 2024, Volume: 31 Issue: 133, 1 - 7, 31.03.2024

Elif Gültekin , Halil İbrahim Çelik , Hatice Kübra Kaynak , S. Büşra Zorlu Mehmet Kertmen , Faruk Mert

https://doi.org/10.7216/teksmuh.1459876

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.

Keywords

Image processing, visible foreign matter, waste cotton, fiber characteristic

Supporting Institution

Scientific and Technological Research Council of Turkey (TUBİTAK)

Project Number

5220100

Thanks

This study is supported by the Scientific and Technological Research Council of Turkey (TUBİTAK). Project Number: 5220100. We express our sincere thanks for their financial support.

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