Abstract
Edge detection is a primitive process required for any complex image processing and recognition task. This paper introduces an idea to improve the conventional edge detection methods. Type-2 fuzzy logic is used for representing uncertainty in the image gradients and aggregation. The uncertainty in the image gradients help to identify true edges which may be ignored by other edge detection techniques.
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