Hyperspectral imaging is gaining interest as an inline reflective analytical technique. The raw data is often applied for classification or process adjustments. Proper calibration can eliminate the background, noise, and artefacts. Further, it enables determination of area fractions and, via spectral information, chemical analysis. This paper demonstrates a simple, robust,...