Adaptive region-based multimodal image fusion using ICA bases

N Cvejic; CN Canagarajah; DR Bull

doi:10.1109/ICIF.2006.301600

Adaptive region-based multimodal image fusion using ICA bases

N Cvejic
, CN Canagarajah
, DR Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

19 Citations (Scopus)

493 Downloads (Pure)

Abstract

In this paper, we present a novel multimodal image fusion algorithm in ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and improvement over other state-of-the-art algorithms.

Translated title of the contribution	Adaptive region-based multimodal image fusion using ICA bases
Original language	English
Title of host publication	9th International Conference on Information Fusion, FUSION, Florence, Italy
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1 - 6
ISBN (Print)	1424409535
DOIs	https://doi.org/10.1109/ICIF.2006.301600
Publication status	Published - Jul 2006
Event	9th International Conference on Information Fusion - Florence, Italy Duration: 1 Jul 2006 → …

Conference

Conference	9th International Conference on Information Fusion
Country/Territory	Italy
City	Florence
Period	1/07/06 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006 (ICIF 2006).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

image fusion
region-based image fusion
image fusion metrics
segmentation
Independent component analysis

Access to Document

10.1109/ICIF.2006.301600

Cvejic IEEE ICIF 2006Accepted author manuscript, 621 KB

http://hdl.handle.net/1983/1335

Handle.net

Persistent link

Cite this

@inproceedings{2624e4a591b8410897163891834827e4,

title = "Adaptive region-based multimodal image fusion using ICA bases",

abstract = "In this paper, we present a novel multimodal image fusion algorithm in ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and improvement over other state-of-the-art algorithms.",

keywords = "image fusion, region-based image fusion, image fusion metrics, segmentation, Independent component analysis",

author = "N Cvejic and CN Canagarajah and DR Bull",

note = "Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006 (ICIF 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 9th International Conference on Information Fusion ; Conference date: 01-07-2006",

year = "2006",

month = jul,

doi = "10.1109/ICIF.2006.301600",

language = "English",

isbn = "1424409535",

pages = "1 -- 6",

booktitle = "9th International Conference on Information Fusion, FUSION, Florence, Italy",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Cvejic, N, Canagarajah, CN & Bull, DR 2006, Adaptive region-based multimodal image fusion using ICA bases. in 9th International Conference on Information Fusion, FUSION, Florence, Italy. Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 6, 9th International Conference on Information Fusion, Florence, Italy, 1/07/06. https://doi.org/10.1109/ICIF.2006.301600

TY - GEN

T1 - Adaptive region-based multimodal image fusion using ICA bases

AU - Cvejic, N

AU - Canagarajah, CN

AU - Bull, DR

N1 - Rose publication type: Conference contribution Terms of use: Copyright © 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006 (ICIF 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2006/7

Y1 - 2006/7

N2 - In this paper, we present a novel multimodal image fusion algorithm in ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and improvement over other state-of-the-art algorithms.

AB - In this paper, we present a novel multimodal image fusion algorithm in ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and improvement over other state-of-the-art algorithms.

KW - image fusion

KW - region-based image fusion

KW - image fusion metrics

KW - segmentation

KW - Independent component analysis

U2 - 10.1109/ICIF.2006.301600

DO - 10.1109/ICIF.2006.301600

M3 - Conference Contribution (Conference Proceeding)

SN - 1424409535

SP - 1

EP - 6

BT - 9th International Conference on Information Fusion, FUSION, Florence, Italy

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 9th International Conference on Information Fusion

Y2 - 1 July 2006

ER -

Adaptive region-based multimodal image fusion using ICA bases

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Handle.net

Fingerprint

Cite this