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Computer Vision for Automated Quality Inspection of Colour Printing Products

  • J. Luo
  • Z. Zhang
  • H. Ismail

Abstract

Quality inspection of colour printing products constitutes a very important QC task in printing industry. The current practice in industry is to inspect complex colour products manually. This process is labour-intensive and the results are not reliable. The types and causes of defects on colour prints are discussed in this paper. We present a novel algorithm to automate the printing inspection process, which incorporates colour histogram-based techniques for colour image processing and a neural network for image classification. The experimental results show that this algorithm is able to detect both registration and purity defects under varying illumination conditions.

Keywords

Colour Histogram Gabor Filter Colour Distribution Moment Invariant Printing Industry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2000

Authors and Affiliations

  • J. Luo
    • 1
  • Z. Zhang
    • 1
  • H. Ismail
    • 1
  1. 1.University of LiverpoolUK

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