Adaptive Neuro-Fuzzy Inference System (ANFIS) Based Edge Detection Technique

This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) based Edge Detection technique. This proposed technique detects the edges from the digital images by using ANFIS based edge detector. The training pattern is proposed to optimize the internal parameters of the ANFIS based edge detector. The edges are directly determined by the proposed edge detector. This proposed edge detector is then compared with popular edge detectors Sobel and Roberts on the basis of performance metrics PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error).

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