@article{article_597730, title={DESIGN OF AN IMAGE PROCESSING SYSTEM FOR FABRIC DRAPE MEASUREMENT}, journal={Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi}, volume={22}, pages={57–63}, year={2019}, DOI={10.17780/ksujes.597730}, url={https://izlik.org/JA88HR25JT}, author={Çelik, Halil İbrahim and Gültekin, Elif and Başkar, Aydın and Öztürk, Büşra and Demirel, Halil İbrahim}, keywords={Fabric drape,bending length,image processing,machine vision}, abstract={<p> <span class="tlid-translation translation"> <span title=""> </span> </span> </p> <p class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:normal;"> <span style="font-family:’Times New Roman’, serif;">Fabric drapeability is an important parameter that affects the apparel
comfort and appearance of the fabric. Fabric drape measurement is based on
calculating the shadow area of the hanged fabric created due to its weight.
This measurement is performed manually and therefore a subjective assessment is
made. Today, with the developments in image acquisition technology and image
processing methods, many measurements and evaluations can be made objectively
and accurately by adapting vision systems. In this study, an example prototype
system with which fabric drape can be measured by image processing techniques
is presented. The designed system consists of machine vision hardware, equipment
and image processing software. The system was tested on 12 different types of
woven and knitted fabrics. The fabric samples were selected randomly. Drape
measurements were performed with developed image processing software. The same
samples were also applied bending length and Cusick drapeability tests to confirm
the results obtained by image processing (IP) method and the relationship
between the three measurements was determined by regression analysis. As a
result, 0.92 and 0.84 R <sup>2 </sup> values were obtained between IP method and
bending length and Cusick drapeablility results respectively.  </span> </p> <p> </p>}