A multi-scale scheme for image segmentation using neuro-fuzzy classification and curve evolution

Authors:
Da Yuan;Hui Fan;Fu-guo Dong
Affiliations:
School of Information and Electronic Engineering, Shandong Institute of Business and Technology, Yantai, China;School of Information and Electronic Engineering, Shandong Institute of Business and Technology, Yantai, China;School of Information and Electronic Engineering, Shandong Institute of Business and Technology, Yantai, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

In this paper, we present a new scheme to segment a given image. This scheme utilizes neuro-fuzzy system to derive a proper set of contour pixels based on multi-scale images. We use these fuzzy derivatives to develop a new curve evolution model. The model automatically detect smooth boundaries, scaling the energy term, and change of topology according to the extracted contour pixels set. We present the numerical implementation and the experimental results based on the semi-implicit method. Experimental results show that one can obtains a high quality edge contour.