CIOMP OpenIR
An infrared-visible image registration method based on the constrained point feature
Q. Li; G. Han; P. Liu; H. Yang; H. Luo and J. Wu
2021
Source PublicationSensors (Switzerland)
ISSN14248220
Volume21Issue:4Pages:1-17
AbstractIt is difficult to find correct correspondences for infrared and visible image registration because of different imaging principles. Traditional registration methods based on the point feature require designing the complicated feature descriptor and eliminate mismatched points, which results in unsatisfactory precision and much calculation time. To tackle these problems, this paper presents an artful method based on constrained point features to align infrared and visible images. The proposed method principally contains three steps. First, constrained point features are ex-tracted by employing an object detection algorithm, which avoids constructing the complex feature descriptor and introduces the senior semantic information to improve the registration accuracy. Then, the left value rule (LV-rule) is designed to match constrained points strictly without the de-letion of mismatched and redundant points. Finally, the affine transformation matrix is calculated according to matched point pairs. Moreover, this paper presents an evaluation method to automatically estimate registration accuracy. The proposed method is tested on a public dataset. Among all tested infrared-visible image pairs, registration results demonstrate that the proposed framework outperforms five state-of-the-art registration algorithms in terms of accuracy, speed, and robustness. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
DOI10.3390/s21041188
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Indexed BySCI ; EI
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Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/65346
Collection中国科学院长春光学精密机械与物理研究所
Recommended Citation
GB/T 7714
Q. Li,G. Han,P. Liu,et al. An infrared-visible image registration method based on the constrained point feature[J]. Sensors (Switzerland),2021,21(4):1-17.
APA Q. Li,G. Han,P. Liu,H. Yang,&H. Luo and J. Wu.(2021).An infrared-visible image registration method based on the constrained point feature.Sensors (Switzerland),21(4),1-17.
MLA Q. Li,et al."An infrared-visible image registration method based on the constrained point feature".Sensors (Switzerland) 21.4(2021):1-17.
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