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Fast cross-spectral image registration using new robust correlation

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Abstract

In this paper, we explore a new correlation technique for cross-spectral image registration. The proposed technique matches the orientation feature of the second derivatives while making use of a statistical robust M estimator. Furthermore, it takes advantage of Fourier and multi-resolution techniques to reduce the complexity of spatial correlation. Simulation results show that our proposed approach gives more accurate results than the mutual information, and the normalized cross-correlation with prefiltering in terms of speed and accuracy.

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Authors and Affiliations

  1. Faculté des sciences, GSCM_LRIT, Rabat, Morocco

    Leila Essannouni, Elhassane Ibn-Elhaj & Driss Aboutajdine

  2. Institut Nationale des postes et Télécommunication, Rabat, Morocco

    Elhassane Ibn-Elhaj

Authors
  1. Leila Essannouni
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  2. Elhassane Ibn-Elhaj
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  3. Driss Aboutajdine
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Correspondence to Leila Essannouni.

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Essannouni, L., Ibn-Elhaj, E. & Aboutajdine, D. Fast cross-spectral image registration using new robust correlation. J Real-Time Image Proc 1, 123–129 (2006). https://doi.org/10.1007/s11554-006-0016-7

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