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Optimization Method for Cell Image Registration

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Abstract

Image registration problem often arises in microscopy when analyzing cell images. The most popular registration methods are rigid methods that use affine transformations. These methods are good enough for different types of images and image modalities, but they are very slow. This makes speed optimization techniques for these methods of particular importance. In this paper, we propose an algorithm for finding the optimal image downsampling coefficient to speedup image registration methods. The algorithm is tested for different rigid registration methods on HeLa cell images.

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ACKNOWLEDGMENTS

This work was supported by the Russian Science Foundation, project no. 17-11-01279.

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Authors and Affiliations

  1. Laboratory of Mathematical Methods of Image Processing, Department of Computational Mathematics and Cybernetics, Moscow State University, 119991, Moscow, Russia

    F. A. Guryanov & A. S. Krylov

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  1. F. A. Guryanov
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  2. A. S. Krylov
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Correspondence to F. A. Guryanov or A. S. Krylov.

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Translated by Yu. Kornienko

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Guryanov, F.A., Krylov, A.S. Optimization Method for Cell Image Registration. Program Comput Soft 44, 266–270 (2018). https://doi.org/10.1134/S0361768818040072

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  • DOI: https://doi.org/10.1134/S0361768818040072

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