Optimization Method for Cell Image Registration
- Authors: Guryanov F.A.1, Krylov A.S.1
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Affiliations:
- Laboratory of Mathematical Methods of Image Processing, Department of Computational Mathematics and Cybernetics, Moscow State University
- Issue: Vol 44, No 4 (2018)
- Pages: 266-270
- Section: Article
- URL: https://journal-vniispk.ru/0361-7688/article/view/176637
- DOI: https://doi.org/10.1134/S0361768818040072
- ID: 176637
Cite item
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.
About the authors
F. A. Guryanov
Laboratory of Mathematical Methods of Image Processing, Department of Computational Mathematics and Cybernetics, Moscow State University
Author for correspondence.
Email: fegur108@gmail.com
Russian Federation, Moscow, 119991
A. S. Krylov
Laboratory of Mathematical Methods of Image Processing, Department of Computational Mathematics and Cybernetics, Moscow State University
Author for correspondence.
Email: kryl@cs.msu.ru
Russian Federation, Moscow, 119991
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