基于D-S证据理论的多模态医学影像融合方法

Abstract

Abstract:

Aiming at a multimodal medical image with blurry edges and unclear textures after being fused,this paper proposes a method for image fusion based on D-S evidence theory.Wavelet decomposition is the priority for the image to be fused.In high frequency domain,with the properties of textures and edges as evidences,the property of each point can be obtained through the use of the Dempster evidence composition and judgment regulation,and thus the fusion regulation is determined;in low frequency domain,the fusion regulation based on the district grads is applied.Experiments indicate that edges and textures of the original medical image can be relatively completely reserved with an effectively higher performance,superior to other methods of this kind.

Key words: image fusion;edge detection;textures;D-S evidence theory

CLC Number:

TP391.41

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YANG Ling, LIU Jing. Multimodal Medical Image Fusion Based on the D-S Evidence Theory[J]., 2010, 23(9): 122-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2010/V23/I9/122

References

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Multimodal Medical Image Fusion Based on the D-S Evidence Theory

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