IMAGE PROCESSING APPROACH FOR FOREIGN MATERIAL DETECTION IN COTTON BUNDLE

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

Pages : 1-7

Doi:10.7216/teksmuh.1459876

View : 57 | Download : 50

Publication Date : 2024-03-31

Article Type : Research Paper

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