Edge Detection in Real Images Using a Neural Network Approach
Gerardo Trejo-Caballero, Víctor Ayala-Ramírez, Arturo Pérez-García, Raúl E. Sánchez-Yáñez · Telecommunications and Radio Engineering · 2005
We propose a neural network approach used in real images to detect edges. Our net detects edges in different directions by analyzing the neighborhood pixels for each pixel of the image. In this work, we show the results of our approach as well as a qualitative comparison with other available algorithms in the literature.