引入图像特征的直觉模糊推理医学图像融合方法

Abstract

Abstract:

In view of the limited application of Intuitionistic Fuzzy Reasoning in medical image fusion at present,a new method has been presented by introducing features of image into the Fusion algorithm as one of the fusion conditions.Experiments results show that the proposed algorithm is superior to the ones based on the traditional Intuitionistic Fuzzy reasoning.

Key words: intuitionistic fuzzy sets;medical image fusion;gray of image;average gradient

CLC Number:

TP391.41

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LI Si-Tong, NA Yan. Medical Image Fusion Algorithm with Image Features Based on Intuitionistic Fuzzy Reasoning[J]., 2013, 26(11): 157-.

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

https://journal.xidian.edu.cn/dzkj/EN/Y2013/V26/I11/157

References

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［2］ATANASSOV K T.Intuiitionstic fuzzy sets［J］.Fuzzy Sets and Systems,1986,20(1):87-96.

［3］田野,陈东锋,雷英杰.基于直觉模糊相似度量的近似推理方法［J］.空军工程大学学报:自然科学版,2007,8(6):50-52.

［4］TENG Jionghua,WANG Suhuan,ZHANG Jingzhou,et al.Fusion algorithm of medical images based on fuzzy logic［C］.2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery,2010:546-550.

［5］张弛,雷英杰,蔡茹.基于三角模的直觉模糊综合评判模型［J］.计算机工程与应用,2008,44(26):133-134.

［6］白永强.基于模糊逻辑及神经网络的医学图像融合研究［D］.西安:西安电子科技大学,2010.

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Medical Image Fusion Algorithm with Image Features Based on Intuitionistic Fuzzy Reasoning

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