A note on binary template matching
Pattern Recognition
A survey of automated visual inspection
Computer Vision and Image Understanding
Fast variable window for stereo correspondence using integral images
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Perceptually uniform color spaces for color texture analysis: an empirical evaluation
IEEE Transactions on Image Processing
Building the Component Tree in Quasi-Linear Time
IEEE Transactions on Image Processing
Demosaicing algorithms for area- and line-scan cameras in print inspection
Journal of Visual Communication and Image Representation
Print process separation using interest regions
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Fast and efficient colour inspection using sets of ellipsoidal regions
Machine Graphics & Vision International Journal
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For quality inspection of security printing systems it is necessary to measure the displacement between printing processes. We present a new approach for region based matching of color images. Maximally stable extremal regions are extracted from image color channels and are the basis for matching. Binary template matching is performed between pairs of regions taken from the corresponding color channels of different images and a displacement vector is derived for each matching pair of regions. 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.