Contour Extraction Algorithm Using a Robust Neural Network

Authors:
Zhou Zhiheng;Li Zhengfang;Zeng Delu
Affiliations:
College of Electronic & Information Engineering, South China University of Technology, 510641 Guangzhou, Email: crenna@163.com, China;College of Electronic & Information Engineering, South China University of Technology, 510641 Guangzhou, Email: crenna@163.com, China;College of Electronic & Information Engineering, South China University of Technology, 510641 Guangzhou, Email: crenna@163.com, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

For the contour extraction from the images, the traditional active contour models may trap in local minimum and strongly depend on initial contour. A contour extraction algorithm based on a robust neural network is proposed in this paper. A searching series of circles are used in obtained feature pixels with adaptive threshold for the final curve function approaching 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.