Title :
Neural Network Implementation of Image Edge Detectors
Author :
Aghababaie, Majid ; Rezairad, Gholamali
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran
Abstract :
Edges are basic low level primitives for image processing. Edge detection is one of the most common operations in image analysis. In this paper a new implementation for edge detection methods using LVQ neural network is proposed. For instance Susan and Canny and Sobel edge detectors are modeled by neural network and simulation results are very promising.
Keywords :
edge detection; neural nets; LVQ neural nework; image analysis; image edge detectors; image processing; Computer graphics; Detectors; Filters; Image edge detection; Image processing; Image segmentation; Neural networks; Pattern matching; Vectors; Visualization; Canny; Edge detection; LVQ network; Sobel; Susan;
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
Conference_Location :
Penang
Print_ISBN :
978-0-7695-3359-9
DOI :
10.1109/CGIV.2008.38
