Fuzzy Systems

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Detecting Edges in Images Using Bat Optimization Based on Interval Type-2 Fuzzy Logic


Affiliations
1 Chikkanna Government Arts College, Tiruppur, India
2 Department of Mathematics, Chikkanna Government Arts College, Tiruppur, India
3 Department of Mathematics, Chikkanna Government Arts College, Tiruppur, India
     

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In this work, Edge detection in Digital images based on Morphological Gradient using Interval Type-2 Fuzzy logic is studied. In order to improve the efficiency of this algorithm, Bat optimization is introduced. Performance of this method is tested with some benchmark images and the results are compared with type-1 fuzzy inference system (T1FIS) and Interval type-2 fuzzy inference system (IT2FIS). Result indicate that image obtained with this new method is better than the existing methods.


Keywords

Digital Images, Edge Detection, Bat Optimization, Interval Type-2 Fuzzy Logic.
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  • Detecting Edges in Images Using Bat Optimization Based on Interval Type-2 Fuzzy Logic

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Authors

Chitra
Chikkanna Government Arts College, Tiruppur, India
RajaRajeswari
Department of Mathematics, Chikkanna Government Arts College, Tiruppur, India
Radharamani
Department of Mathematics, Chikkanna Government Arts College, Tiruppur, India

Abstract


In this work, Edge detection in Digital images based on Morphological Gradient using Interval Type-2 Fuzzy logic is studied. In order to improve the efficiency of this algorithm, Bat optimization is introduced. Performance of this method is tested with some benchmark images and the results are compared with type-1 fuzzy inference system (T1FIS) and Interval type-2 fuzzy inference system (IT2FIS). Result indicate that image obtained with this new method is better than the existing methods.


Keywords


Digital Images, Edge Detection, Bat Optimization, Interval Type-2 Fuzzy Logic.