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