Two-Scale Multimodal Medical Image Fusion Based on Structure Preservation.
Front Comput Neurosci
; 15: 803724, 2021.
Article
in English
| MEDLINE | ID: covidwho-1715022
ABSTRACT
Medical image fusion has an indispensable value in the medical field. Taking advantage of structure-preserving filter and deep learning, a structure preservation-based two-scale multimodal medical image fusion algorithm is proposed. First, we used a two-scale decomposition method to decompose source images into base layer components and detail layer components. Second, we adopted a fusion method based on the iterative joint bilateral filter to fuse the base layer components. Third, a convolutional neural network and local similarity of images are used to fuse the components of the detail layer. At the last, the final fused result is got by using two-scale image reconstruction. The contrast experiments display that our algorithm has better fusion results than the state-of-the-art medical image fusion algorithms.
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International databases
Database:
MEDLINE
Language:
English
Journal:
Front Comput Neurosci
Year:
2021
Document Type:
Article
Affiliation country:
Fncom.2021.803724
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