Region-based multimodal image fusion using ICA bases

被引：10

作者：

Cvejic, Nedeljko ^{[1
]}

Lewis, John ^{[1
]}

Bull, David ^{[1
]}

Canagarajah, Nishan ^{[1
]}

机构：

[1] Univ Bristol, Dept Elect & Elect Engn, Woodland Rd, Bristol BS8 1UB, Avon, England

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年

关键词：

image fusion; joint segmentation; region-based fusion; Independent component analysis;

D O I：

10.1109/ICIP.2006.312638

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1801 / +

页数：2

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