Medical Image Fusion With Adaptive Local Geometrical Structure And Wavelet Transform
This paper presents a novel medical image fusion method based on an adaptive local geometrical structure within wavelet framework. The local image structure is described by the eigenvalues and eigenvectors of structure tensor of every image. The fused high frequency wavelet coefficients are composed by an adaptive weighted sum of that of two source images. Fine structures, such as edges and corners, can be preserved with this method. Experimental results on medical images and multifocus images show that the the performance of the new method.
medical Image image fusion structure tensor edge- preserving wavelet transform
Bibo Lu Hui Wang Chunli Miao
School of Computer Science and Technology Henan Polytechnic University Jiaozuo, China 454000
国际会议
成都
英文
52-56
2011-01-14（万方平台首次上网日期，不代表论文的发表时间）