• Year 2022
• Year 2021
• Year 2020
• Year 2019
• Year 2018
• Year 2017
• Year 2016
• Year 2015
• Year 2014
• Year 2013
• Year 2012
• Year 2011
• Year 2010
• Year 2009
• Year 2008
• Year 2007
• Year 2006
• Year 2005
• Year 2004
• Year 2003
• Year 2002
• Year 2001
• Year 2000
• Year 1999
• Year 1998
• Year 1997
• Year 1996
• Year 1995
• Year 1994
• Year 1993

Measuring the Blend Ratio of Wool/Cashmere Yarns Based on Image Processing Technology˙

Research and development

Authors:

• Qian Kun
  School of Textile & Clothing, Jiangnan University, WuXi, P. R. China
• Li Hongshun (j/w)
• Cao Haijian (j/w)
• Yu Kejing (j/w)

Full text

Abstract: In this study, an image processing technique was developed for testing the blend ratio of wool/cashmere yarns. Cashmere and wool were sliced and images clearly attributed to the obvious colour divergence after staining. In the image processing procedure, a support vector machine (SVM) was used to remove the background and separate wool and cashmere fibers. Some other parameters of the SVM were selected to identify wool and cashmere fibers beyond the colour character. When the wool and cashmere fibers were completely separated, the blend ratio was calculated by means of the picture-handling and data-handling functions of MATLAB software. This research work presents an accurate and fast method of analyzing the blend ratio, and the results obtained were a confirmation of this.

Tags: image processing technology, support vector machine (SVM), wool/cashmere, blend ratio.˙

Citation: Qian Kun,Li Hongshun,Cao Haijian,Yu Kejing,Shen Wei.; Measuring the Blend Ratio of Wool/Cashmere Yarns Based on Image Processing Technology. FIBRES & TEXTILES in Eastern Europe 2010, Vol. 18, No. 4 (81) pp. 35-38.

Published in issue no 4 (81) / 2010, pages 35–38.