A Novel GA-Based Optimized Approach for Regional Multimodal Medical Image Fusion With Superpixel Segmentation

A Novel GA-Based Optimized Approach for Regional Multimodal Medical Image Fusion With Superpixel Segmentation

For multimodal medical image fusion problems, most of the existing fusion approaches are based on pixel-level. However, the pixel-based fusion method tends to lose local and spatial information as the relationships between pixels are not considered appropriately, which has much influence on the qual...

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Bibliographic Details
Main Authors: Junwei Duan, Shuqi Mao, Junwei Jin, Zhiguo Zhou, Long Chen, C. L. Philip Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Multimodal medical image fusion
superpixel segmentation
genetic algorithm
log-gabor filter
sum modified laplacian
Online Access:https://ieeexplore.ieee.org/document/9475541/

Internet

https://ieeexplore.ieee.org/document/9475541/

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