Internal Symmetry Nets for Back Propagation in Edge Detection
Neural Networks are increasingly applied for edge detection recently. Internal Symmetry Networks are a recently developed class of Cellular Neural Network inspired by the phenomenon of internal symmetry in quantum physics. In this paper, Internal Symmetry Neural Nets are trained with Back Propagation for edge detection. Traditional approaches to edge detection did not involve Neural Networks (NN), but rather mathematical operators are enough such as Sobel, Robert, Prewitt, Marr, Canny and so on. With the development of NN, many studies have been done on edge detection with NN.