DocumentCode
2626177
Title
IR and color image fusion using interval type 2 fuzzy logic system
Author
Kashyap, Sudesh Kumar
Author_Institution
Flight Mech. & Control Div., Nat. Aerosp. Labs., Bangalore, India
fYear
2015
fDate
3-4 March 2015
Firstpage
1
Lastpage
4
Abstract
This paper provides research and development carried out to apply fuzzy logic system (type 1 and type 2) of image fusion. It covers fuzzy logic operator/operations in context of image fusion. Color and infrared images obtained from Enhanced Vision System prototype are utilized for the study. The fused image is evaluated for various design cases for fuzzy logic system type 1 and Interval type 2 fuzzy logic systems. Based on qualitative and analytical analysis, it is concluded that Interval type 2 fuzzy logic system performs better than fuzzy logic system type 1 and in general Sugeno based fuzzy logic systems are better than Mamdani based fuzzy logic systems.
Keywords
fuzzy logic; image colour analysis; image fusion; infrared imaging; color image fusion; enhanced vision system prototype; fuzzy logic operator; infrared images; interval type 2 fuzzy logic system; Fuzzy logic; Fuzzy sets; Image fusion; Input variables; Pragmatics; Prototypes; Standards; EVS Prototype; Fuzzy Logic Type 2; Image Fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Computing and Information Processing (CCIP), 2015 International Conference on
Conference_Location
Noida
Type
conf
DOI
10.1109/CCIP.2015.7100732
Filename
7100732
Link To Document