Paper
22 July 2022 A new multi-spectral image registration algorithm
Author Affiliations +
Abstract
In this paper, an EOH based multi-spectral image registration algorithm is proposed, which is robust to rotation and scale changes. The key points of EOH descriptor have no main direction, and the neighborhood size of key points is fixed, so it is not robust to rotation change and scale change. The existing multi-spectral image registration methods mainly use the gradient features of the neighborhood of key points, but the gradient information between multi-spectral images is not stable, resulting in the limited improvement effect of these methods. The method proposed in this paper uses mutual information measure to calculate the relative rotation angle between images, so as to determine the main direction of key points, calculate the key point descriptor according to the main direction of key points, and make the size of key point neighborhood change with the scale of key points. Experimental results show that the proposed method in this paper is more robust to rotation and scale change.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wu Kun, Bin Li, Zongxin Liu, Yifan Shen, and Jing Hu "A new multi-spectral image registration algorithm", Proc. SPIE 12277, 2021 International Conference on Optical Instruments and Technology: Optical Systems, Optoelectronic Instruments, Novel Display, and Imaging Technology, 1227716 (22 July 2022); https://doi.org/10.1117/12.2619451
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KEYWORDS
Image registration

Infrared imaging

Infrared radiation

Long wavelength infrared

Error analysis

Multispectral imaging

Image processing

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