Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Karishma Bhardwaj, Palvinder Singh Mann · International Journal of Computer Applications · 2013
This paper presents an Edge Detection technique for images corrupted by salt and pepper noise, which is based on an Adaptive Neuro-Fuzzy Inference System (ANFIS).This proposed technique first of all filters out the noise by Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then find the edges using proposed ANFIS based edge detector.The training pattern for edge detection is proposed to optimize the internal parameters of the ANFIS based edge detector.The edges are directly determined by the proposed ANFIS based edge detector.This proposed edge detector is then compared with popular edge detectors Sobel, Roberts, Prewitt on the basis of performance metrics PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error) and No. of Edges detected.