A new image segmentation method based on statistics and local fractal dimension
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    Abstract:

    To improve the precision of image segmentation,a new method based on statistics and fractal dimension is proposed.This method can be used to segment natural images like tree,road and sky,furthermore,it can also be used in vision system of robot.The proposed method can be roughly divided into three steps,firstly,collect vast amount of Local Fractal Dimension(LFD) of tree,road and sky;secondly,analyze the LFD distribution characteristics of the three textures,which are mentioned above;finally,segment those three textures according to the distribution characteristics,and then,smooth and filter the image by using mathematical morphological methods.Compared with some other methods,experimental data show that this proposed method can improve the precision of segmentation by using LFD as the feature.

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YE Xiaoling, LIU Tailei, HU Kai. A new image segmentation method based on statistics and local fractal dimension[J]. Journal of Nanjing University of Information Science & Technology,2013,5(1):69-72

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  • Received:February 20,2012
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