Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/30039
Title: Image processing based drape measurement of fabrics using circular Hough transformation
Authors: Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği Bölümü.
0000-0001-5708-7993
Süvari, Fatih
N-1770-2019
55512827100
Keywords: Hough transform
Drape
Fabric testing
Image processing
Behavior
Materials science
Appearance
Cutting
Fabric
Measurement
Processing
Testing
Weaving
Weighing
Feature extraction
Hough transforms
Instrument testing
Knit fabrics
Textile industry
Weaving
Aesthetic property
Circular Hough transforms
Conventional systems
Correlation coefficient
Hough transformation
Image processing - methods
Image processing algorithm
Objective measurement
Image processing
Issue Date: 9-Jun-2020
Publisher: Taylor & Francis
Citation: Süvari, F. (2021). "Image processing based drape measurement of fabrics using circular Hough transformation". Journal of the Textile Institute, 112(5), 846-854.
Abstract: The drape behaviour of fabric is regarded as an aesthetic property, especially in the apparel and home textile industries. It has an influence on how well the appearance of a fabric in the end use. Fabric drape testing instrument developed by Cusick has been commonly used for the objective measurement of fabric drape behaviour. The device and the classic cut-and-weigh procedure is still the standard method of measuring drape. This method needs consumables and skilled operator for drawing, cutting, and weighing operations. To eliminate the disadvantages of this conventional system, image processing algorithm based on the Circular Hough Transform is developed to calculate the drape coefficient of fabrics in this study. Various woven and knitted fabrics were tested by both the conventional and the developed image processing methods. Drape results obtained from both systems represented a very strong relationship with a correlation coefficient of 0.99. As a result, fast, accurate and robust objective fabric drape test method has been developed.
URI: https://doi.org/10.1080/00405000.2020.1782553
https://www.tandfonline.com/doi/full/10.1080/00405000.2020.1782553
http://hdl.handle.net/11452/30039
ISSN: 0040-5000
1754-2340
Appears in Collections:Web of Science

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