Measuring the roughness of knitted fabrics by analysis of surface signals obtained from image processing

Hasani, Hossein; Behtaz, Sanaz

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Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/16376

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DC Field	Value	Language
dc.contributor.author	Hasani, Hossein	-
dc.contributor.author	Behtaz, Sanaz	-
dc.date.accessioned	2013-03-19T09:56:56Z	-
dc.date.available	2013-03-19T09:56:56Z	-
dc.date.issued	2013-03	-
dc.identifier.issn	0975-1025 (Online); 0971-0426 (Print)	-
dc.identifier.uri	http://hdl.handle.net/123456789/16376	-
dc.description	101-105	en_US
dc.description.abstract	The present study focuses on the evaluation of weft knitted fabric roughness using image processing. Various knitted fabric samples have been produced using flat and circular knitting machines. The SMD value of fabrics which refers to surface roughness has been measured by Kawabata surface tester. Images of samples have been taken by a high resolution scanner, converted to grayscale image and then been processed by Matlab; a signal is obtained from each sample. Six different features have been extracted from the signals. The results of correlation test reveal that there is a good correlation between the wave lengths of obtained signal extracted from fabric images and the measured roughness by KES surface tester.	en_US
dc.language.iso	en_US	en_US
dc.publisher	NISCAIR-CSIR, India	en_US
dc.rights	CC Attribution-Noncommercial-No Derivative Works 2.5 India	en_US
dc.source	IJFTR Vol.38(1) [March 2013]	en_US
dc.subject	Image processing	en_US
dc.subject	Kawabata method	en_US
dc.subject	Knitted fabric	en_US
dc.subject	Roughness	en_US
dc.title	Measuring the roughness of knitted fabrics by analysis of surface signals obtained from image processing	en_US
dc.type	Article	en_US
Appears in Collections:	IJFTR Vol.38(1) [March 2013]

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