基于分形维数的离线图像分割方法

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

为了能够提高图像分割的精度,提出了一种基于统计学和分形维数的图像分割方法,能够对自然景物中树木、道路和天空进行分割,并且可以应用于机器人导航的视觉系统.该方法首先通过统计大量的道路和树木和天空的分形维数(LFD),分析三者对应的LFD值分布特点,然后利用该特点对图像进行分割,最后对分割后的图像进行平滑处理,得到分割结果.实验结果表明:利用统计结果进行图像分割能够提高分割速率,而且使用分形维数作为特征能够得到比较精确的分割效果.

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 a- mount 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.