Multi-scale image registration based on strength correspondence weighted graph

Chengcai Leng; Wei Xu; Weidong Yan; Xiangzeng Liu; Yuesong Wei

doi:10.1109/CISP.2010.5647556

Multi-scale image registration based on strength correspondence weighted graph

Chengcai Leng, Wei Xu, Weidong Yan, Xiangzeng Liu, Yuesong Wei

School of Mathematics and Statistics

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

This paper proposes a novel strength correspondence weighted graph for multi-scale image registration. First, the strength correspondence weighted graph is proposed based on the structure information and attributes relations of graph. Second, a similarity scale parameter obtained which can adjust adaptively scale based on the similarity of the different feature points. Third, the energy is embedded in the strength correspondence weighted graph, which not only considers distribution of the energy but also considers the level of energy, which can better describe the similarity between the features of the image and find the correspondence between the features. Experiments on real-word images demonstrate that the proposed method is effective and accurate for multi-scale image registration.

Original language	English
Title of host publication	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Pages	1897-1900
Number of pages	4
DOIs	https://doi.org/10.1109/CISP.2010.5647556
State	Published - 2010
Event	2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China Duration: 16 Oct 2010 → 18 Oct 2010

Publication series

Name	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Volume	4

Conference

Conference	2010 3rd International Congress on Image and Signal Processing, CISP 2010
Country/Territory	China
City	Yantai
Period	16/10/10 → 18/10/10

Keywords

Energy
Multi-scale image registration
Similarity scale parameter
Strength correspondence weighted graph

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10.1109/CISP.2010.5647556

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Leng, C., Xu, W., Yan, W., Liu, X., & Wei, Y. (2010). Multi-scale image registration based on strength correspondence weighted graph. In Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 (pp. 1897-1900). Article 5647556 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 4). https://doi.org/10.1109/CISP.2010.5647556

@inproceedings{90a24803776e4fa3acdb23f9579c91a9,

title = "Multi-scale image registration based on strength correspondence weighted graph",

abstract = "This paper proposes a novel strength correspondence weighted graph for multi-scale image registration. First, the strength correspondence weighted graph is proposed based on the structure information and attributes relations of graph. Second, a similarity scale parameter obtained which can adjust adaptively scale based on the similarity of the different feature points. Third, the energy is embedded in the strength correspondence weighted graph, which not only considers distribution of the energy but also considers the level of energy, which can better describe the similarity between the features of the image and find the correspondence between the features. Experiments on real-word images demonstrate that the proposed method is effective and accurate for multi-scale image registration.",

keywords = "Energy, Multi-scale image registration, Similarity scale parameter, Strength correspondence weighted graph",

author = "Chengcai Leng and Wei Xu and Weidong Yan and Xiangzeng Liu and Yuesong Wei",

year = "2010",

doi = "10.1109/CISP.2010.5647556",

language = "英语",

isbn = "9781424465149",

series = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

pages = "1897--1900",

booktitle = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

note = "2010 3rd International Congress on Image and Signal Processing, CISP 2010 ; Conference date: 16-10-2010 Through 18-10-2010",

}

Leng, C, Xu, W, Yan, W, Liu, X & Wei, Y 2010, Multi-scale image registration based on strength correspondence weighted graph. in Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010., 5647556, Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010, vol. 4, pp. 1897-1900, 2010 3rd International Congress on Image and Signal Processing, CISP 2010, Yantai, China, 16/10/10. https://doi.org/10.1109/CISP.2010.5647556

Multi-scale image registration based on strength correspondence weighted graph. / Leng, Chengcai; Xu, Wei; Yan, Weidong et al.
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010. 2010. p. 1897-1900 5647556 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 4).

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

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T1 - Multi-scale image registration based on strength correspondence weighted graph

AU - Leng, Chengcai

AU - Xu, Wei

AU - Yan, Weidong

AU - Liu, Xiangzeng

AU - Wei, Yuesong

PY - 2010

Y1 - 2010

N2 - This paper proposes a novel strength correspondence weighted graph for multi-scale image registration. First, the strength correspondence weighted graph is proposed based on the structure information and attributes relations of graph. Second, a similarity scale parameter obtained which can adjust adaptively scale based on the similarity of the different feature points. Third, the energy is embedded in the strength correspondence weighted graph, which not only considers distribution of the energy but also considers the level of energy, which can better describe the similarity between the features of the image and find the correspondence between the features. Experiments on real-word images demonstrate that the proposed method is effective and accurate for multi-scale image registration.

AB - This paper proposes a novel strength correspondence weighted graph for multi-scale image registration. First, the strength correspondence weighted graph is proposed based on the structure information and attributes relations of graph. Second, a similarity scale parameter obtained which can adjust adaptively scale based on the similarity of the different feature points. Third, the energy is embedded in the strength correspondence weighted graph, which not only considers distribution of the energy but also considers the level of energy, which can better describe the similarity between the features of the image and find the correspondence between the features. Experiments on real-word images demonstrate that the proposed method is effective and accurate for multi-scale image registration.

KW - Energy

KW - Multi-scale image registration

KW - Similarity scale parameter

KW - Strength correspondence weighted graph

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SN - 9781424465149

T3 - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

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EP - 1900

BT - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

T2 - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

Y2 - 16 October 2010 through 18 October 2010

ER -

Multi-scale image registration based on strength correspondence weighted graph

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