Non-rigid registration for qualitiy control of printed materials

Amir Badshah; Paul O'Leary; Matthew Harker; Christian Sallinger

doi:10.1117/12.890901

12 July 2011 Non-rigid registration for qualitiy control of printed materials

Amir Badshah, Paul O'Leary, Matthew Harker, Christian Sallinger

Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 80000J (2011) https://doi.org/10.1117/12.890901
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France

Abstract

This paper presents a new approach to non-rigid elastic registration. The method is applied to hyper spectral imaging data for the automatic quality control of decorative foils which are subject to deformation during lamination. A new image decimation procedure based on Savitzky-Golay smoothing is presented and applied in a multiresolution pyramid. Modified Fourier basis functions implemented by projection onto the orthogonal complement of a truncated Gram polynomial basis are presented. The modified functions are used to compute spectra whereby the Gibbs error associated with local gradients in the image are reduced. The paper also presents the first direct linear solution to weighted tensor product polynomial approximation. This method is used to regularize the patch coordinates, the solution is equivalent to a Galerkin type solution to a partial differential equations. The new solution is applied to published standard data set and to data acquired in a production environment. The speed of the new solution justifies explicit reference: the present solution implemented in MATLAB requires approximatly 1.3s to register an image of size 800 ×× 500 pixels. This is approximately a factor 10 to 100 faster than previously published results for the same data set.

Citation Download Citation

Amir Badshah, Paul O'Leary, Matthew Harker, and Christian Sallinger "Non-rigid registration for qualitiy control of printed materials", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000J (12 July 2011); https://doi.org/10.1117/12.890901

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