Research on Feature Extraction and Optimization of Cashmere and Wool Fiber Based on Digital Image

Heng Chen; Ya Xia Liu

doi:10.4028/www.scientific.net/AMM.667.260

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 667Research on Feature Extraction and Optimization of...

Research on Feature Extraction and Optimization of Cashmere and Wool Fiber Based on Digital Image

Abstract:

The identification of cashmere and wool fiber is one of the difficult problems in the textile industry. Three features including diameter, diameter shaft parameter and the density are extracted using MATLAB.Support vector machine is used to recognition the cashmere and wool fiber. The experiment shows that diameter is not a useful feature for recognition and density combined diameter shaft parameter is useful for differentiate them and recognition rate is 87.35%.

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Periodical:

Applied Mechanics and Materials (Volume 667)

Pages:

260-263

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.667.260

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Online since:

October 2014

Authors:

Heng Chen, Ya Xia Liu*

Keywords:

Cashmere Fiber, Feature Extraction, Identification, Wool Fiber

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* - Corresponding Author

References

[1] Mei Sun et, The statistics on cashmere morphology. Journal of Textile Research, 2003(02), 48-51.

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[2] Yong Cai Liu et al., Research on the Scale Density Extraction Technology of Cashmere and Wool, 2012, Applied Mechanics and Materials, 217-219, 947.

DOI: 10.4028/www.scientific.net/amm.217-219.947

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