Medical image fusion based on multi-scale co-occurrence filter and ResNet152

Guangqiu Chen; Qiao Wu; Xinli Zhu; Shuai Wang

doi:10.1117/12.3008055

14 November 2023 Medical image fusion based on multi-scale co-occurrence filter and ResNet152

Guangqiu Chen, Qiao Wu, Xinli Zhu, Shuai Wang

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 129340Z (2023) https://doi.org/10.1117/12.3008055
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

A medical image fusion algorithm based on multi-scale co-occurrence filter and ResNet152 is proposed. Firstly, the source image is decomposed through a multi-scale co-occurrence filter, which can effectively preserve edge structure information while obtaining detail and contour information at different scales. Using ResNet152 to extract source image features and generate initial weight maps for the base layer. Obtain the entropy map of the source image through the entropy function, and combine it with the initial weight map to generate a weight map. Used for basic layer image fusion, improving image contrast. In detail layer fusion, the introduction of the maximum symmetric surround saliency algorithm is used to extract salient feature of the intermediate base layer image. The obtained salient feature map is processed through guided filter to obtain weight map, and the detail layer images are weighted and fused to effectively utilize detail information. Finally, the fusion images of the basic layer and the detail layer are reconstructed to obtain the fusion image. The experimental results show that compared with existing fusion methods, the proposed method achieves better results in both subjective and objective evaluations.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guangqiu Chen, Qiao Wu, Xinli Zhu, and Shuai Wang "Medical image fusion based on multi-scale co-occurrence filter and ResNet152", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 129340Z (14 November 2023); https://doi.org/10.1117/12.3008055

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KEYWORDS

Image fusion

Tunable filters

Image filtering

Medical imaging

Feature extraction

Image processing

Evolutionary algorithms

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