Image Registration for the Alignment of Digitized Historical Documents [article]

AmirAbbas Davari, Tobias Lindenberger, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess
2017 arXiv   pre-print
In this work, we conducted a survey on different registration algorithms and investigated their suitability for hyperspectral historical image registration applications. After the evaluation of different algorithms, we choose an intensity based registration algorithm with a curved transformation model. For the transformation model, we select cubic B-splines since they should be capable to cope with all non-rigid deformations in our hyperspectral images. From a number of similarity measures, we
more » ... ound that residual complexity and localized mutual information are well suited for the task at hand. In our evaluation, both measures show an acceptable performance in handling all difficulties, e.g., capture range, non-stationary and spatially varying intensity distortions or multi-modality that occur in our application.
arXiv:1712.04482v1 fatcat:7u4mcc5lqrf3vbqylvldx2rame