Differentiation between different adhesives
In chemometrics, various methods of multivariate data analysis are implemented in order to evaluate spectra. For example, it is possible to reduce the information content of spectra, which is distributed over various wavelengths and absorption bands, to its major components, thereby enabling qualitative differentiation or quantitative assessment of the spectra. Using the software developed by the WKI, this principle of “chemical imaging” can also be applied to hyperspectral images.
The upper illustration shows a classified image with non-glued pinewood strands upon which strands with various types of adhesive (left: PMDI, to the right of centre: UF, far right: MUPF) lay. The analysis of the major components (lower ill.) shows that the scores for the spectra are clearly grouped in the component area. In this case, only two major components are necessary in order to differentiate between three types of adhesive and the non-glued strands and therefore enable allocation of the image pixels to the substances represented there (red: non-glued, brown: PMDI, blue: UF, green: MUPF).