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A Feature-Level Image Fusion Algorithm Based on Neural Networks

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4 Author(s)
Rong Wang ; Coll. of Inf. Security & Eng., Chinese People's Public Security Univ., Beijing ; Fanliang Bu ; Hua Jin ; Lihua Li

A feature-level image fusion method based on segmentation region and neural networks is proposed in this paper. Firstly, the source images are segmented and merged into a set of common regions which are used for guiding the whole fusion process; then selecting the corresponding segmentation regions from the source images respectively and extracting features representing clarity in the two regions; at last the features are fed into a neural networks to judge clear region to reconstruct the final fusion image. The experimental results show that the fusion effect is better.

Published in:

2007 1st International Conference on Bioinformatics and Biomedical Engineering

Date of Conference:

6-8 July 2007