Paper
19 February 2008 Identification of fine wool and cashmere by Vis/NIR spectroscopy technology
Guifang Wu, Yong He
Author Affiliations +
Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66251T (2008) https://doi.org/10.1117/12.791231
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
Abstract
As a rapid and non-destructive methodology, near infrared spectroscopy technique has been paid much attention recently. This paper presents an automatic recognition scheme for the fine wool fiber and cashmere fiber by Vis/NIR spectroscopy technique, aim at the characteristics of Vis/NIR spectra on cashmere and fine wool. One mixed algorithm was presented to discriminate cashmere and fine wool with principal component analysis (PCA) and Artificial Neural Network (ANN). Preliminary qualitative analysis model has been built: We adopt Vis/NIRS spectroscopy diffuse techniques to collect the spectral data of cashmere and fine wool, two kinds of data pretreatment methods were applied: the standard normal variate (SNV) was used as scatter correction. Savitzky-Golay with the segment size 3 was used as the smoothing way to decrease the noise processed. Followed the pretreatment, spectral data were processed using principal component analysis, 6 principal components (PCs) were selected based on the reliabilities of PCs of 99.8%, the scores of these 6 PCs would be taken as the input of the three-layer back-propagation (BP) artificial neural network (BP-ANN). Trained the BP-ANN with samples in calibration collection and predicted the samples in prediction collection. Experiments demonstrate that the system works quickly and effectively, and has remarkable advantages in comparison with the previous systems, The result indicted a model had been built to discriminate cashmere from fine wool using Vis/NIR spectra method combined with PCA-BP technology. The model works well, which indicates that this kind of approach is effective and promising, can raise resolution of cashmere and fine wool.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guifang Wu and Yong He "Identification of fine wool and cashmere by Vis/NIR spectroscopy technology", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66251T (19 February 2008); https://doi.org/10.1117/12.791231
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Cited by 1 scholarly publication.
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KEYWORDS
Principal component analysis

Spectroscopy

Neural networks

Data modeling

Near infrared spectroscopy

Near infrared

Reliability

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