Image analytical monitoring of paper quality - a feasibility study

we evaluated 14 selected paper quality parameters using new image analytical techniques for characterization and monitoring of paper quality (multivariate AMT regression). We tested the technique on six major paper types. Of the parameters tested, 13 could be modeled with only minor optimization of the initial experimental image recording parameters. Although this analysis was performed in the laboratory with static sheets of paper, this new "remote sensing" image technique shows promising application potential for on-line product monitoring of the specified physical qualities.