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

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.