DocumentCode
2154671
Title
A Wavelet Neural Network for Edge Detection
Author
Cai, Nian
Volume
3
fYear
2008
fDate
27-30 May 2008
Firstpage
625
Lastpage
628
Abstract
Wavelet neural networks have the advantages of good localization characteristics and adaptive learning virtue. A wavelet neural network, in this paper, is used for edge detection in digital images. Image features are extracted as the input of the network from local statistics of the image. The experimental results indicate that the proposed method is able to effectively complete the task of edge detection.
Keywords
Adaptive signal processing; Artificial neural networks; Digital images; Feature extraction; Gray-scale; Image edge detection; Neural networks; Pixel; Statistics; Wavelet transforms; difference features; edge detection; median features; wavelet neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.110
Filename
4566558
Link To Document