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A Hybrid Method for Detection of Edges in Grayscale Images
2013
International Journal of Image Graphics and Signal Processing
Edge detection is the most fundamental but at the same time most important task in image processing and analysis. In the paper a hybrid approach combin ing Neural Network and Fu zzy log ic based edge detection algorithm is proposed to detect edges in grayscale images. To improve the generalizat ion ability, the neural network is trained on fuzzy inputs rather than crisp inputs. The network consists of three layers, one input layer, one hidden layer and one output layer. Fuzzy membership
doi:10.5815/ijigsp.2013.09.04
fatcat:thndiqmfsjalnjnhpsopu3z5gq