An Image Registration Method Based on Shape Features of Regional Groups

Zepeng Wang; Fang Wu; Yixun Liu; Chao Tang; Derong Chen; Jiulu Gong

doi:10.1109/ICUS58632.2023.10318261

An Image Registration Method Based on Shape Features of Regional Groups

Zepeng Wang, Fang Wu, Yixun Liu, Chao Tang, Derong Chen, Jiulu Gong^*

^*Corresponding author for this work

School of Mechatronical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Aiming at the problem that local features such as midpoints, lines and so on in images before and after damage are severely changed, an image registration method based on shape features of regional building groups is proposed. Firstly, the building area is extracted by segmentation. Then a grouping strategy is designed to group building areas. The feature descriptor of regional group is constructed by using invariant moments, so that the feature descriptor is invariant with translation, rotation and scaling. Finally, the registration is completed by matching the invariant moments. In this paper, the images from the Russia-Ukraine war are used for registration experiments. The experimental results show that compared with the existing methods, the proposed method has a higher feature matching rate and can complete the registration of pre-damage images and post-damage images.

Original language	English
Title of host publication	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Editors	Rong Song
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1464-1469
Number of pages	6
ISBN (Electronic)	9798350316308
DOIs	https://doi.org/10.1109/ICUS58632.2023.10318261
Publication status	Published - 2023
Event	2023 IEEE International Conference on Unmanned Systems, ICUS 2023 - Hefei, China Duration: 13 Oct 2023 → 15 Oct 2023

Publication series

Name	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

Conference

Conference	2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Country/Territory	China
City	Hefei
Period	13/10/23 → 15/10/23

Keywords

battle damage image
image registration
regional feature

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10.1109/ICUS58632.2023.10318261

Cite this

Wang, Z., Wu, F., Liu, Y., Tang, C., Chen, D., & Gong, J. (2023). An Image Registration Method Based on Shape Features of Regional Groups. In R. Song (Ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 (pp. 1464-1469). (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS58632.2023.10318261

Wang, Zepeng ; Wu, Fang ; Liu, Yixun et al. / An Image Registration Method Based on Shape Features of Regional Groups. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. editor / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1464-1469 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

@inproceedings{b54c58107d0147fa8c5843879b4ef417,

title = "An Image Registration Method Based on Shape Features of Regional Groups",

abstract = "Aiming at the problem that local features such as midpoints, lines and so on in images before and after damage are severely changed, an image registration method based on shape features of regional building groups is proposed. Firstly, the building area is extracted by segmentation. Then a grouping strategy is designed to group building areas. The feature descriptor of regional group is constructed by using invariant moments, so that the feature descriptor is invariant with translation, rotation and scaling. Finally, the registration is completed by matching the invariant moments. In this paper, the images from the Russia-Ukraine war are used for registration experiments. The experimental results show that compared with the existing methods, the proposed method has a higher feature matching rate and can complete the registration of pre-damage images and post-damage images.",

keywords = "battle damage image, image registration, regional feature",

author = "Zepeng Wang and Fang Wu and Yixun Liu and Chao Tang and Derong Chen and Jiulu Gong",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 ; Conference date: 13-10-2023 Through 15-10-2023",

year = "2023",

doi = "10.1109/ICUS58632.2023.10318261",

language = "English",

series = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1464--1469",

editor = "Rong Song",

booktitle = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

address = "United States",

}

Wang, Z, Wu, F, Liu, Y, Tang, C, Chen, D & Gong, J 2023, An Image Registration Method Based on Shape Features of Regional Groups. in R Song (ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1464-1469, 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Hefei, China, 13/10/23. https://doi.org/10.1109/ICUS58632.2023.10318261

An Image Registration Method Based on Shape Features of Regional Groups. / Wang, Zepeng; Wu, Fang; Liu, Yixun et al.
Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. ed. / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1464-1469 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Image Registration Method Based on Shape Features of Regional Groups

AU - Wang, Zepeng

AU - Wu, Fang

AU - Liu, Yixun

AU - Tang, Chao

AU - Chen, Derong

AU - Gong, Jiulu

PY - 2023

Y1 - 2023

N2 - Aiming at the problem that local features such as midpoints, lines and so on in images before and after damage are severely changed, an image registration method based on shape features of regional building groups is proposed. Firstly, the building area is extracted by segmentation. Then a grouping strategy is designed to group building areas. The feature descriptor of regional group is constructed by using invariant moments, so that the feature descriptor is invariant with translation, rotation and scaling. Finally, the registration is completed by matching the invariant moments. In this paper, the images from the Russia-Ukraine war are used for registration experiments. The experimental results show that compared with the existing methods, the proposed method has a higher feature matching rate and can complete the registration of pre-damage images and post-damage images.

AB - Aiming at the problem that local features such as midpoints, lines and so on in images before and after damage are severely changed, an image registration method based on shape features of regional building groups is proposed. Firstly, the building area is extracted by segmentation. Then a grouping strategy is designed to group building areas. The feature descriptor of regional group is constructed by using invariant moments, so that the feature descriptor is invariant with translation, rotation and scaling. Finally, the registration is completed by matching the invariant moments. In this paper, the images from the Russia-Ukraine war are used for registration experiments. The experimental results show that compared with the existing methods, the proposed method has a higher feature matching rate and can complete the registration of pre-damage images and post-damage images.

KW - battle damage image

KW - image registration

KW - regional feature

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DO - 10.1109/ICUS58632.2023.10318261

M3 - Conference contribution

AN - SCOPUS:85180124787

T3 - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

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BT - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

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Wang Z, Wu F, Liu Y, Tang C, Chen D , Gong J. An Image Registration Method Based on Shape Features of Regional Groups. In Song R, editor, Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1464-1469. (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). doi: 10.1109/ICUS58632.2023.10318261

An Image Registration Method Based on Shape Features of Regional Groups

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