A region based image matching method with spatial constraints

Yaowei Wang; Limin Su; Yanfei Wang

doi:10.1109/CISP.2008.534

A region based image matching method with spatial constraints

Yaowei Wang^*
, Limin Su
, Yanfei Wang^*

^*Corresponding author for this work

Beijing Institute of Technology
Beijing Union University
Chinese Academy of Sciences

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

Abstract

In this paper, a new region-based image matching method was proposed to find the user defined regions in other images. Not only local features and overall features are used, but spatial constraints are also employed. Experimental data were composed of 1000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three matching strategies were compared in experiments. They were overall feature only, color and spatial constraints, and color/texture with constraints. As well, lots of noise was introduced to test the robustness of the proposed method. Experimental results showed that the method was feasible and effective.

Original language	English
Title of host publication	Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Pages	460-465
Number of pages	6
DOIs	https://doi.org/10.1109/CISP.2008.534
State	Published - 2008
Externally published	Yes
Event	1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China Duration: 27 May 2008 → 30 May 2008

Publication series

Name	Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Volume	2

Conference

Conference	1st International Congress on Image and Signal Processing, CISP 2008
Country/Territory	China
City	Sanya, Hainan
Period	27/05/08 → 30/05/08

Access to Document

10.1109/CISP.2008.534

Cite this

@inproceedings{553f6465cab3483d8045b72dc5ef4851,

title = "A region based image matching method with spatial constraints",

abstract = "In this paper, a new region-based image matching method was proposed to find the user defined regions in other images. Not only local features and overall features are used, but spatial constraints are also employed. Experimental data were composed of 1000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three matching strategies were compared in experiments. They were overall feature only, color and spatial constraints, and color/texture with constraints. As well, lots of noise was introduced to test the robustness of the proposed method. Experimental results showed that the method was feasible and effective.",

author = "Yaowei Wang and Limin Su and Yanfei Wang",

year = "2008",

doi = "10.1109/CISP.2008.534",

language = "英语",

isbn = "9780769531199",

series = "Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008",

pages = "460--465",

booktitle = "Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008",

note = "1st International Congress on Image and Signal Processing, CISP 2008 ; Conference date: 27-05-2008 Through 30-05-2008",

}

Wang, Y, Su, L & Wang, Y 2008, A region based image matching method with spatial constraints. in Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008., 4566346, Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008, vol. 2, pp. 460-465, 1st International Congress on Image and Signal Processing, CISP 2008, Sanya, Hainan, China, 27/05/08. https://doi.org/10.1109/CISP.2008.534

A region based image matching method with spatial constraints. / Wang, Yaowei; Su, Limin; Wang, Yanfei.
Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008. 2008. p. 460-465 4566346 (Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008; Vol. 2).

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

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AU - Su, Limin

AU - Wang, Yanfei

PY - 2008

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N2 - In this paper, a new region-based image matching method was proposed to find the user defined regions in other images. Not only local features and overall features are used, but spatial constraints are also employed. Experimental data were composed of 1000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three matching strategies were compared in experiments. They were overall feature only, color and spatial constraints, and color/texture with constraints. As well, lots of noise was introduced to test the robustness of the proposed method. Experimental results showed that the method was feasible and effective.

AB - In this paper, a new region-based image matching method was proposed to find the user defined regions in other images. Not only local features and overall features are used, but spatial constraints are also employed. Experimental data were composed of 1000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three matching strategies were compared in experiments. They were overall feature only, color and spatial constraints, and color/texture with constraints. As well, lots of noise was introduced to test the robustness of the proposed method. Experimental results showed that the method was feasible and effective.

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DO - 10.1109/CISP.2008.534

M3 - 会议稿件

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T3 - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008

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BT - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008

T2 - 1st International Congress on Image and Signal Processing, CISP 2008

Y2 - 27 May 2008 through 30 May 2008

ER -

A region based image matching method with spatial constraints

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