基于分形和神经网络理论的多尺度图象分割方法

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Abstract Clustering algorithms in feature space are important methods in image segmentation. The choice of the effective feature parameters and the construction of the clustering method are key problems encountered with clustering algorithms. In this paper we chose multifractal dimensions as the segmentation feature parameters which are extracted from original image and wavelet-transformed image. SOM network is applied to cluster the segmentation feature parameters. The experiment shows that the performance of our algorithm is very good.

Key words： Fractal Wavelet transform Neural network Image segmentation

Received: 20 January 1997

PACS:	TN911.73
	TN-052

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	Yang Shaoguo
	Yin Zhongke
	Luo Bingwei

Cite this article:

Yang Shaoguo,Yin Zhongke,Luo Bingwei. MULTISCALE IMAGE SEGMENTATION USING FRACTAL AND NEURAL NETWORK[J]. , 1998, 20(6): 727-732 .

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http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y1998/V20/I6/727