Rough Set-Based Decision Tool for Classification of Cotton Yarn Neps
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ORIGINAL CONTRIBUTION
Rough Set-Based Decision Tool for Classification of Cotton Yarn Neps Subhasis Das1 • Anindya Ghosh1
Received: 16 January 2020 / Accepted: 7 August 2020 The Institution of Engineers (India) 2020
Abstract Neps in cotton yarn and fabric are considered as blemishes which can severely downgrade the product and economically affect the textile industry. Identification of neps in cotton yarn is a prerequisite to control their generation in the yarn formation process. Hence, a real-time nep identification technique would lead to more effective control and reduction in nep levels in cotton. In recent years, rough set theory has evolved as one of the most promising classification techniques. One of the cardinal uses of rough set theory is its application for rule generation. Our approach focuses on the classification of seed coat neps and fibrous neps using the effective decision rules envisaged by rough set theory. In this work, 60 images were captured and processed in rough set technique to classify neps in cotton yarn. The validation results ascertain that 11 out of 12 testing data are correctly predicted by the rough set technique. The framed decision rules provide an insight about the classification tool which ensures that the prediction accuracy of the tool can be raised further by framing more robust decision rules with the help of large training dataset. Thus, this technique is potent to get recognition from the modern textile industry as an automated neps classification technique. Keywords Classification Cotton yarn Decision rule Neps Rough set
& Subhasis Das [email protected] 1
Government College of Engineering and Textile Technology, Berhampore 742 101, India
Introduction Cotton is one of the world’s leading agricultural crops largely produced in China, India, US, Pakistan and Brazil. Cotton still has the largest share in the spun yarn market. It has been stated that each and every person in the world wears at least one item of clothing made from cotton every day [1]. But nowadays with the advent of polymer science, cotton fibers are receiving tough competition from manmade fibers. In terms of cotton yarn and fabric quality, neps continue to be an issue which needs to be addressed to ensure that cotton does not lose further market to synthetic fibers. Neps are considered to be the most influential defects which cause significant financial loss to the textile industry. In a study, 61% textile industry in Germany reported that they had lost orders due to the occurrence of neps in cotton yarns and fabrics [2]. Walen [3] rightfully stated that ‘neps make one dollar yarn looks like ten cents yarn.’ Neps impart more weak places in the yarn and thereby causing higher ends down rate which directly affects the production efficiency of textile spinning industry. Neps in the yarn often block yarn guides and needle hooks in knitting machine which may lead to an uneven fabric appearance. The presence of neps in yarn severely affects the appearance of dyed and printed fabrics. The cotto
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