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