DocumentCode
2854238
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
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
171
Lastpage
173
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
Conference_Location
Penang
Print_ISBN
978-0-7695-3359-9
Type
conf
DOI
10.1109/CGIV.2008.38
Filename
4627002
Link To Document