The wet-end characterization of the paper web by the intelligent, vision-based apparatus involves a 4D measurement of the slurry in real time. These measurements include the 2D spatial formation, the intensity profile, and the depth profile of the slurry. To infer the pertinent web parameters from these measurements, the system employs a suit of sophisticated image processing and pattern recognition algorithms. The automatically inferred parameters are then used to quantify paper formation characteristics and monitor production events.
|Number of pages||19|
|State||Published - 1998|
|Event||Proceedings of the 1998 Process and Product Quality Conference and Trade Fair - Milwaukee, WI, USA|
Duration: Oct 18 1998 → Oct 23 1998
|Conference||Proceedings of the 1998 Process and Product Quality Conference and Trade Fair|
|City||Milwaukee, WI, USA|
|Period||10/18/98 → 10/23/98|