Region-based multimodal image fusion using ICA bases

N Cvejic; J Lewis; DR Bull; CN Canagarajah

doi:10.1109/ICIP.2006.312638

Region-based multimodal image fusion using ICA bases

N Cvejic, J Lewis, DR Bull, CN Canagarajah

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

11 Citations (Scopus)

368 Downloads (Pure)

Abstract

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

Translated title of the contribution	Region-based multimodal image fusion using ICA bases
Original language	English
Title of host publication	2006 IEEE International Conference on Image Processing, Atlanta, GA, United States
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1801 - 1804
Number of pages	4
ISBN (Print)	1424404819
DOIs	https://doi.org/10.1109/ICIP.2006.312638
Publication status	Published - Oct 2006
Event	International Conference on Image Processing - Atlanta, United States Duration: 1 Oct 2006 → …

Conference

Conference	International Conference on Image Processing
Country/Territory	United States
City	Atlanta
Period	1/10/06 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work has been funded by the UK Ministry of Defence Data and Information Fusion Defence Technology Centre.

Terms of use: Copyright © 2006 IEEE. Reprinted from IEEE International Conference on Image Processing, 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
joint segmentation
region-based fusion
independent component analysis

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Cvejic IEEE ICIP 2006Accepted author manuscript, 4.24 MB
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title = "Region-based multimodal image fusion using ICA bases",

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

keywords = "image fusion, joint segmentation, region-based fusion, independent component analysis",

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

note = "Rose publication type: Conference contribution Sponsorship: This work has been funded by the UK Ministry of Defence Data and Information Fusion Defence Technology Centre. Terms of use: Copyright {\textcopyright} 2006 IEEE. Reprinted from IEEE International Conference on Image Processing, 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. ; International Conference on Image Processing ; Conference date: 01-10-2006",

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language = "English",

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Cvejic, N, Lewis, J, Bull, DR & Canagarajah, CN 2006, Region-based multimodal image fusion using ICA bases. in 2006 IEEE International Conference on Image Processing, Atlanta, GA, United States. Institute of Electrical and Electronics Engineers (IEEE), pp. 1801 - 1804, International Conference on Image Processing, Atlanta, United States, 1/10/06. https://doi.org/10.1109/ICIP.2006.312638

Region-based multimodal image fusion using ICA bases. / Cvejic, N; Lewis, J; Bull, DR et al.
2006 IEEE International Conference on Image Processing, Atlanta, GA, United States. Institute of Electrical and Electronics Engineers (IEEE), 2006. p. 1801 - 1804.

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

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AU - Canagarajah, CN

N1 - Rose publication type: Conference contribution Sponsorship: This work has been funded by the UK Ministry of Defence Data and Information Fusion Defence Technology Centre. Terms of use: Copyright © 2006 IEEE. Reprinted from IEEE International Conference on Image Processing, 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 - 2006/10

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

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KW - joint segmentation

KW - region-based fusion

KW - independent component analysis

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M3 - Conference Contribution (Conference Proceeding)

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ER -

Region-based multimodal image fusion using ICA bases

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