Classification of textile samples using data fusion combining near- and mid-infrared spectral information

HIGHLIGHTS

• who: Jordi-Roger Riba and colleagues from the , Terrassa, Spain have published the paper: Classification of Textile Samples Using Data Fusion Combining Near- and Mid-Infrared Spectral Information, in the Journal: Polymers 2022, 14, x FOR PEER REVIEW of /2022/
• what: The aim of this paper is to develop a sorting system able to separate the most common pure textile fibers (cotton, linen, wool, silk, polyester, polyamide and viscose), as 3 of 19 well as binary mixtures of viscose-polyester and cotton-polyester using data fusion of NIR and MIR spectra. Sample Collection and Identification . . .
  

   

  

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