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Research on Multi-Mode Medical Image Fusion Algorithm Based on Wavelet Transform and the Edge Characteristics of Images

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5 Author(s)
Xiaoqing Zhang ; Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China ; Yongguo Zheng ; Yanjun Peng ; Weike Liu
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This article presents a wavelet transformation based multi-mode medical image fusion algorithm which combined with the edge characteristics of sub-image, making wavelet transformation on multi-source medical image to be integrated firstly, and then set up appropriate fusion operator to make integration according to edge feature of sub-images transformed and human eyes' different sensitivity on images in HVS, and reconstruct fusion image through inverse transformation at last. Tested by the integration experiment on brain MRI-PET images, it is proved that this method can combine anatomical information and functional information together more effectively, and retain the edge characteristics of original image better.

Published in:

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Date of Conference:

17-19 Oct. 2009

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