DocumentCode :
3305051
Title :
Image Edge Detection Based on Improved Local Fractal Dimension
Author :
Feng, Chen ; Ji, Guangrong ; Cheng, Junna ; Liu, Xuefeng ; Zhang, Jie
Author_Institution :
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao
Volume :
4
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
640
Lastpage :
643
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.
Keywords :
edge detection; LFD map images; image edge detection; improved local fractal dimension; Educational institutions; Fractals; Geometry; Image edge detection; Image segmentation; Information science; Lighting; Oceans; Rough surfaces; Surface roughness; Edge Detection; Local Fractal Dimension;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.447
Filename :
4667362
Link To Document :
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