Medical image fusion is a process of obtaining a new composite image from two or more source images which are from
different modalities. In this paper, we proposed a novel medical image fusion scheme based on the non-negative matrix
factorization (NMF) algorithm, the only resulted basis image is just the fused image. Since the CT and MRI images have
a lot of pixels which are zeros, the NMF algorithm can not be employed directly. To overcome this difficulty, we first
add a positive bias to the original data matrix and remove the bias from the resulted fusion image after the NMF
procedure. The experiment results show that the proposed approach outperforms the existing wavelet-based methods and
Laplacian pyramid-based methods.
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