Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/16376
Title: Measuring the roughness of knitted fabrics by analysis of surface signals obtained from image processing
Authors: Hasani, Hossein
Behtaz, Sanaz
Keywords: Image processing;Kawabata method;Knitted fabric;Roughness
Issue Date: Mar-2013
Publisher: NISCAIR-CSIR, India
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.
Page(s): 101-105
URI: http://hdl.handle.net/123456789/16376
ISSN: 0975-1025 (Online); 0971-0426 (Print)
Appears in Collections:IJFTR Vol.38(1) [March 2013]

Files in This Item:
File Description SizeFormat 
IJFTR 38(1) 101-105.pdf287.56 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.