Print Process Separation Using Interest Regions

For quality inspection of printing systems it is necessary to measure the displacement between printing processes. Tie points are employed in correspondence and displacement estimation between individual print elements. We compare interest point and region descriptors for tie point detection in industrial inspection tasks. Clustering of measured displacements taken from sequences of sample images allows the estimation of the accuracy of printing processes and the alignment of printing processes. Results of an experimental application to banknote printing process inspection are given.

[1]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[2]  Olga Veksler,et al.  Fast variable window for stereo correspondence using integral images , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[3]  Sargur N. Srihari,et al.  Properties of Binary Vector Dissimilarity Measures , 2003 .

[4]  Hans P. Moravec.  Obstacle avoidance and navigation in the real world by a seeing robot rover , 1980 .

[5]  Maureen C. Stone,et al.  Color gamut mapping and the printing of digital color images , 1988, TOGS.

[6]  Azriel Rosenfeld,et al.  Gray-level corner detection , 1982, Pattern Recognit. Lett..

[7]  Martin Winter,et al.  MSCC: Maximally Stable Corner Clusters , 2005, SCIA.

[8]  Andrew Zisserman,et al.  Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?" , 2002, ECCV.

[9]  Leszek Wojnar,et al.  Image Analysis , 1998 .

[10]  Cordelia Schmid,et al.  Evaluation of Interest Point Detectors , 2000, International Journal of Computer Vision.

[11]  Andreas Vrabl,et al.  Region based matching for print process identification , 2007, Pattern Recognit. Lett..

[12]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[13]  Mads Nielsen,et al.  Computer Vision — ECCV 2002 , 2002, Lecture Notes in Computer Science.

[14]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[15]  Rune Winther,et al.  Computer Safety, Reliability, and Security, 24th International Conference, SAFECOMP 2005, Fredrikstad, Norway, September 28-30, 2005, Proceedings , 2005, SAFECOMP.

[16]  Nicu Sebe,et al.  Evaluation of Salient Point Techniques , 2002, CIVR.

[17]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[18]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .