QVision

Image-Based Measurement Methods for Quality in Pulping and Papermaking

QVision is a Forestcluster-funded project targeting on the applications related to paper and pulping industry.

Introduction

QVision research project focuses on image-based measurement methods for quality in pulping and papermaking. This project develops methods such that the functional properties of fiber-based products can be developed, and also managed in production, at a radically improved degree of specificity and scope. The methods are a necessity in the development and production of new high added-value products. The project develops both entirely new measurements characterizing structures and quality, and a procedure for transferring image-based research and off-line methods to on-line measurements and for quality management.

Goals

The purpose of QVision is to

  1. study image-based characterisation methods of paper and pulp
  2. develop laboratory and on-line measurements for process automation and quality control

News

Contact information

Lappeenranta University of Technology (LUT)
Heikki Kälviäinen WWW Professor
Lasse Lensu WWW Post-doc researcher, Senior lecturer
Maryam Panjeh Fouladgaran WWW Research assistant

The project is formed by 11 research groups, see the general QVision entry in our project list. This project is part of the research in the Machine Vision and Pattern Recognition Research Group.

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Source code

  1. No public releases

Researchers

Publications

  1. Articles in refereed scientific journals

  2. Articles in scientific edited volumes with referee or invitation practise

  3. Articles in refereed scientific conference proceedings

  4. Monographs published

  5. Other scientific publications