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Unsupervised grouping of industrial textile dyes using K-means algorithm and optical fibre spectroscopy

Abstract: A method for the unsupervised clustering of optically thick textile dyes based on their spectral properties is demonstrated in this paper. The system utilizes optical fibre sensor techniques in the Ultraviolet-Visible-Near Infrared (UV-Vis-NIR) to evaluate the absorption spectrum and thus the colour of textile dyes. A multivariate method is first applied to calculate the optimum dilution factor needed to reduce the high absorbance of the dye samples. Then, the grouping algorithm used combines Principal Component Analysis (PCA), for data compression, and K-means for unsupervised clustering of the different dyes. The feasibility of the proposed method for textile applications is also discussed in the paper.

Other conference communications or articles related to authors from the University of Cantabria

 Authorship: Cubillas A., Conde O., Anuarbe P., Quintela A., Lopez-Higuera J.,

 Congress: European Workshop on Optical Fibre Sensors, EWOFS (4º : 2010 : Oporto)

 Publisher: SPIE Society of Photo-Optical Instrumentation Engineers

 Publication date: 08/09/2010

 No. of pages: 4

 Publication type: Conference object

 DOI: 10.1117/12.866427

 ISSN: 0277-786X,1996-756X

 Spanish project: TEC2007-67987-C02-01

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