Approach of medicial image fusion based on multiwavelet transform

Authors:
Zhao Tongzhou;Wang Yanli;Wang Haihui;Song Hongxian;Gao Shen
Affiliations:
School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan, China;School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan, China;School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan, China;School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan, China;School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

The purpose of image fusion is to merge information from multi-sensor and to improve abilities of information analysis and feature extraction. In this paper, a new image fusion algorithm based on multiwavelet transform to fuse multimedical images is presented. The detailed discussions are focused on the two-wavelet and two-scaling function multiwavelets. In the fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. Experiment of fusing medical CT\MRI images is presented in this paper. Comparing with other image fusion methods, satisfactory result has been obtained by applying this method on both objective and subjective performance measure.