A fast photometric image alignment algorithm with row and column means

IF 1.9 4区物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS

New Astronomy Pub Date : 2024-03-13 DOI:10.1016/j.newast.2024.102224

Jie Zheng , Linqiao Jiang , Jianfeng Tian

引用次数: 0

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.

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利用行和列手段的快速光度图像配准算法

本文介绍了一种天文图像配准算法。该算法使用原始图像行和列的均值进行配准，并通过比较图像之间的不同偏移量，找到与最大相似度相对应的最佳偏移量。相似度是通过商的标准偏差除以均值来评估的。本文还讨论了该算法的理论可行性。通过实际测试，证实了该算法的快速性和鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

New Astronomy 地学天文-天文与天体物理

CiteScore

4.00

自引率

10.00%

发文量

109

审稿时长

13.6 weeks

期刊介绍： New Astronomy publishes articles in all fields of astronomy and astrophysics, with a particular focus on computational astronomy: mathematical and astronomy techniques and methodology, simulations, modelling and numerical results and computational techniques in instrumentation. New Astronomy includes full length research articles and review articles. The journal covers solar, stellar, galactic and extragalactic astronomy and astrophysics. It reports on original research in all wavelength bands, ranging from radio to gamma-ray.