Fusion of CT & MR Images with a Novel Method Based on Wavelet Transform
This paper presents a novel approach for fusion of CT & MR Images based on wavelet transform. The images to be fused are firstly decomposed with the wavelet transform. Then, by considering the characteristics of the CT & MR images, the coefficients of the low frequency band is performed with a maximum-selection (MS) rule, and the coefficients of the high frequency bands is convolved with a Laplacian operator followed by the MS rule. Finally, the fused image is reconstructed by using the inverse wavelet transform with the combined wavelet coefficients. The performance of our method is compared with some existing fusion approaches. Experimental results indicate that the proposed method is practical and effective.
Image fusion wavelet transform medical image wavelet coefficient
Yong Yang Shuying Huang
School of Information Technology Jiangxi University of Finance and Economics Nanchang,P.R.China School of Electronics Jiangxi University of Finance and Economics Nanchang,P.R.China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）