Abstract
In this paper, we present a novel adaptive neuro-fuzzy inference system (ANFIS) for edge detection in digital images. In the proposed method, the edges in the image are directly determined by an ANFIS network. The proposed ANFIS edge detector is tested on popular images having different image properties and also compared with popular edge detectors from the literature. Experimental results show that the proposed ANFIS edge detector exhibits much better performance than the competing operators and may efficiently be used for the detection of edges in digital images.
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