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

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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.

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