关键词: 图像融合, 小波分解, 模板匹配, 平均算子, 肿瘤图像

Abstract: A new image fusion technique is put forward using wavelet transform to decompose the multi-resolution signals from each and every image so as to fuse differently the subimages within different bandwidths at every resolution levels. Template matching is used in high-frequency domain to calculate the statistical average and mean square deviation in image display area, thus determining the proportion of information provided by source images in image fusion process. In low-frequency domain the fusion is carried out using averaging operator so as to keep on the background of image. Then, image fusion can be completed by wavelet transform. The technique proposed has successfully been used in CT image fusion for tumor diagnosis, and experimental results revealed that it is an efficient way to provide fused image more adaptable to human vision.