DocumentCode
2638795
Title
Contour Extraction by a Neural Network Approximation
Author
Zhiheng Zhou ; Delu Zeng
Author_Institution
South China Univ. of Technol., Guangzhou
fYear
2008
fDate
18-20 June 2008
Firstpage
434
Lastpage
434
Abstract
A contour extraction algorithm based on a neural network is proposed in this paper. A series of searching circles are used in obtained feature pixels with discrimination analysis for the final curve function approximation by neural network. Robust back propagation algorithm has been used to control the final curve shape. The simulations also show that the proposed algorithm has a great performance for different kinds of images.
Keywords
approximation theory; backpropagation; edge detection; feature extraction; neural nets; contour extraction; final curve shape; neural network approximation; robust back propagation algorithm; searching circles; Active contours; Approximation algorithms; Function approximation; Image processing; Level set; Neural networks; Pixel; Robust control; Shape control; Statistical learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.639
Filename
4603623
Link To Document