DESIGN OF AN IMAGE PROCESSING SYSTEM FOR FABRIC DRAPE MEASUREMENT
Abstract
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 R2 values were obtained between IP method and bending length and Cusick drapeablility results respectively.
Keywords
References
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Details
Primary Language
English
Subjects
Wearable Materials
Journal Section
Research Article
Authors
Elif Gültekin
0000-0003-4910-4081
Türkiye
Aydın Başkar
Türkiye
Büşra Öztürk
Türkiye
Halil İbrahim Demirel
Türkiye
Publication Date
November 29, 2019
Submission Date
July 28, 2019
Acceptance Date
October 17, 2019
Published in Issue
Year 2019 Volume: 22