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Comparative Analysis of Different Strategies of Image Fusion using Fuzzy logic


Affiliations
1 Electrical Engineering Department, National Institute of Technical Teachers Training and Research, Kolkata - 700106, West Bengal, India
 

The term fusion means in general approach to extract information acquired in several domains. Image fusion is the process of integrating multiple images of same scene into a single fused image to reduce uncertainty, minimizing redundancy while extracting all the useful information from the source images. Fuzzy logic is very much useful in systems where there is no direct relation between input and output. In the process like image fusion there is no way of to find direct relation between intensity of every pixel of input image and output image. There has lot of uncertainty involved in the process. Fuzzy logic provides a way to create relation between intensity of every pixel of input and output image. This paper presents different strategies of image fusion using fuzzy logic. A comparative analysis of image fusion performance of different image fusion strategies using fuzzy logic applied on the images taken in different lighting condition gives the better approach to its future work.

Keywords

Fuzzy Logic, Image Fusion, Image Fusion Strategies, Image Fusion Performances.
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  • Comparative Analysis of Different Strategies of Image Fusion using Fuzzy logic

Abstract Views: 481  |  PDF Views: 179

Authors

Falguni Gopmandal
Electrical Engineering Department, National Institute of Technical Teachers Training and Research, Kolkata - 700106, West Bengal, India
Sagarika Pal
Electrical Engineering Department, National Institute of Technical Teachers Training and Research, Kolkata - 700106, West Bengal, India

Abstract


The term fusion means in general approach to extract information acquired in several domains. Image fusion is the process of integrating multiple images of same scene into a single fused image to reduce uncertainty, minimizing redundancy while extracting all the useful information from the source images. Fuzzy logic is very much useful in systems where there is no direct relation between input and output. In the process like image fusion there is no way of to find direct relation between intensity of every pixel of input image and output image. There has lot of uncertainty involved in the process. Fuzzy logic provides a way to create relation between intensity of every pixel of input and output image. This paper presents different strategies of image fusion using fuzzy logic. A comparative analysis of image fusion performance of different image fusion strategies using fuzzy logic applied on the images taken in different lighting condition gives the better approach to its future work.

Keywords


Fuzzy Logic, Image Fusion, Image Fusion Strategies, Image Fusion Performances.

References