Metric for multimodal image sensor fusion

N Cvejic, DR Bull, CN Canagarajah

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)

Abstract

A novel objective non-reference metric for multimodal image sensor fusion is presented. Using the joint segmentation of the input images and entropy of the regions as the priority, an `ideal' fused image is obtained. The metric is based on computing how accurately the important regions from the input images are transferred into the fused image. Experiments have shown that the obtained metric values correspond better to the subjective quality of the fused images than other state-of-the-art fusion metrics.
Translated title of the contributionMetric for multimodal image sensor fusion
Original languageEnglish
Pages (from-to)95 - 96
Number of pages2
JournalElectronics Letters
Volume43
Issue number2
DOIs
Publication statusPublished - Jan 2007

Bibliographical note

Publisher: Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Rose publication type: Journal article

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