Image Edge Detection Based on Improved Local Fractal Dimension

Chen Feng, Guangrong Ji, Junna Cheng, Xuefeng Liu, Jie Zhang
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引用次数: 4

Abstract

This paper presents an improved method for estimating the local fractal dimension. The bright points in the local fractal dimension (LFD) map image derived from previous method may influence the effect of edge detection. To solve this problem, we use 0 as the replaced value to supplement the values which do not exist. At the same time, based on the improved local fractal dimension we have furthermore proposed an edge detection method according to the difference between two LFD map images which are computed using local windows of different sizes. The experimental results have proved the effectiveness of our method.
基于改进局部分形维数的图像边缘检测
提出了一种改进的局部分形维数估计方法。先前方法得到的局部分形维数(LFD)地图图像中的亮点会影响边缘检测的效果。为了解决这个问题,我们使用0作为替换值来补充不存在的值。同时,在改进的局部分形维数的基础上,进一步提出了一种利用不同大小的局部窗口计算两幅LFD地图图像之间的差异进行边缘检测的方法。实验结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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