A medical image fusion method based on two-layer decomposition and improved spatial frequency

Multi-modal medical image fusion is widely used in clinical diagnosis and treatment. This present patent investigates a novel multi-modal medical image fusion method based on Latent Low-Rank Representation (LatLRR) and modified spatial frequency. Firstly, the LatLRR is utilized to learn a project matrix which used to extract salient features. Then, the project matrix L after learning is used to decompose the source image into base part and detail part. Finally, for the detail layer, the modified spatial frequency is used to fuse the detail layer, and then guided filter is used to preserve the edge of the fused detail layer. For the base part, the method based on Visual saliency mapping (VSM) is used to fuse the base part. The fused image is obtained by combine the fused detail part and the base part. In addition, compared with other state-of-the-art fusion methods, experimental results demonstrate that proposed method has better fusion performance both in subjective visual and objective evaluation.