PICKING - Detection of Paper Surface Defects

Goals

This project is a sub-project of larger industrial research project Papvision. The goal of this sub-project is to review and revise existing, and develop new methods for an automatic detection of picking and other surface defects from a printed paper surface, for example, from IGT picking assessment samples. The main goal is to propose new hardware and software solution which meet the industrial requirements for accuracy and reliability.

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Sub-projects

News

Prototype system for automatic inspection of IGT Picking strips is ready (see video) and research continues.

Contact information

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Source code

1. Not publicly available

Data sets

1. Not publicly available

Links to other resources

Documentation

Do not hesitate to to contact authors (e-mail, etc.) in order to retrieve copies or reprints of the following publications.

1. Articles in international scientific journals with referee practice
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2. Articles in international compilation works and in international scientific conference proceedings with referee practice
   1. Drobchenko, A., Vartiainen, J. Kamarainen, J.-K., Lensu, L., Kälviäinen, H., Thresholding Based Detection of Fine and Sparse Details, In Proc. of the IAPR Conf. on Machine Vision Applications (Tsukuba Science City, Japan, 2005), 257-260.
      
      
5. Scientific monographs
   1. Drobchenko, Alexander, Automated Picking Assessment Using Machine Vision, MSc (Diploma) thesis, Lappeenranta University of Technology, 2004. (PDF 1.3M)
      
      
6. Other scientific publications
   1. Drobchenko, A., Vartiainen, J., Kamarainen, J.-K., Lensu, L., Kälviäinen, H., Thresholding Based Detection of Fine and Sparse Details, Research Report 99, Lappeenranta University of Technology, Department of Information Technology, 2005. (PDF 1.3M)