A fast photometric image alignment algorithm with row and column means
Abstract
This paper introduces an astronomical image alignment algorithm. This algorithm uses the means of the rows and columns of the original image for alignment, and finds the optimal offset corresponding to the maximum similarity by comparing different offsets between images. The similarity is evaluated by the standard deviation of the quotient divided by the means. This paper also discusses the theoretical feasibility of this algorithm. Through practical testing, it has been confirmed that the algorithm is fast and robust.
- Publication:
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New Astronomy
- Pub Date:
- August 2024
- DOI:
- 10.1016/j.newast.2024.102224
- arXiv:
- arXiv:2404.09912
- Bibcode:
- 2024NewA..11002224Z
- Keywords:
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- Methods: Data analysis;
- Techniques: Image processing;
- Binaries: Eclipsing;
- Astrophysics - Instrumentation and Methods for Astrophysics
- E-Print:
- 7 figures