Xiaoqing Zhang, Yongguo Zheng, Yanjun Peng, Weike Liu, Changqiang Yang
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引用次数: 26
Abstract
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. Keyword:multi-mode medical image; image fusion; wavelet transforamtion; edge feature
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