Chen Feng, Guangrong Ji, Junna Cheng, Xuefeng Liu, Jie Zhang
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Image Edge Detection Based on Improved Local Fractal Dimension
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.
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