Ragab A, Fouda A, El-Deeb H and Hemdan AT
Drape is an important property, which affects the aesthetic appearance of fabrics used in garments in this study, a simple, easy and precise method for measuring fabric drape using the image processing technique was demonstrated. The study was conducted using a range of knitted and woven fabric samples. The fabrics were conventionally evaluated using the German drape meter instrument. The average drape coefficient of each fabric sample obtained through the conventional drape meter technique was compared statistically with that obtained through the new proposed digital technique. The results agreed with those obtained from the image processing technique with a high correlation coefficient (r=0.9970). Drapeability assessment has been done on the basis of changes in drape coefficient (DC), drape parameters, node parameters and structural parameters. Also, a method of expressing drape, node and structural parameters relating to the drape coefficient of fabrics has been developed. This method involves the area of polygon area. Two regression models were proposed for both conventional and digital image techniques and for all fabrics using the multiple linear regressions. The regression results were analyzed in terms of correlation coefficients. These regression models are shown to predict the drape coefficient accurately.
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Journal of Textile Science & Engineering received 1008 citations as per Google Scholar report
