Experimental Evaluation of Rigid Registration Using Phase Correlation Under Illumination Changes

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9474)


The phase correlation method is a computationally-efficient technique for image alignment. Presently, the method is capable of performing rigid image registration with sub-pixel accuracy, and is fairly robust to noise and long translations. However, there are also cases when the images to be aligned were taken at different times or come from different sensors, and may present differences in intensity values or illumination. Many algorithms exist to deal with these issues; however, most of them are computationally expensive. In this article, we explore the robustness of the phase correlation method to illumination and/or intensity changes by means of a quantitative evaluation using artificially-generated rigid transformations. Our results suggest that rigid registration using phase correlation may be fairly robust to gamma correction, quantization and multi-spectral acquisition, but more sensitive to differences in illumination and lighting conditions between the input images.


Phase Correlation Method Rigid Image Registration Gamma Correction Random Rigid Transformation Normalized Cross Spectrum 
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.



This work was supported by CONACyT grant 154623.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Facultad de CienciasUniversidad Autónoma de San Luis PotosíSan Luis PotosíMexico

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