Multivariate image analysis for inspection of multilayer films

The potential and effectiveness of near-infrared (NIR) hyperspectral imaging was investigated for rapid and nondestructive spectral-spatial inspection of functional multilayer films. A series of film samples having different combinations of layers were used to demonstrate the sensor performance. Mul...

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Bibliographic Details
Published in:Polymer testing 2014-12, Vol.40, p.196-206
Main Authors: Ghasemzadeh-Barvarz, Massoud, Rodrigue, Denis, Duchesne, Carl
Format: Article
Language:English
Subjects:
Applied sciences
Barriers
Classification
Exact sciences and technology
Forms of application and semi-finished materials
Hyperspectral imaging
Image analysis
Inspection
Laminates
Multilayer film
Multilayers
Multivariate image analysis (MIA)
NIR hyperspectral image
Polymer industry, paints, wood
Polymeric films
Printing
Quality control
Spectra
Technology of polymers
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Summary:The potential and effectiveness of near-infrared (NIR) hyperspectral imaging was investigated for rapid and nondestructive spectral-spatial inspection of functional multilayer films. A series of film samples having different combinations of layers were used to demonstrate the sensor performance. Multivariate Image Analysis (MIA) was applied to NIR hyperspectral images of unprinted multilayer films with different compositions to distinguish them regarding absence/presence of particular layers. Since printing of commercial brands on the films may interfere with product inspection, the ability of MIA to detect the presence of the functional layer (barrier) in spite of film surface printing was also assessed. The results show that the proposed MIA approach is successful at classifying multilayer films, even in the presence of printing.
ISSN:0142-9418
1873-2348
DOI:10.1016/j.polymertesting.2014.09.011