Image Edge Detection Based on Direction Fuzzy Entropy


Article Preview

To improve the ability of the fuzzy edge detection and anti-noise performance, the paper proposes a new weighted direction fuzzy entropy image edge detection method. The proposed method converts the feature space of image gray to the fuzzy feature space, and then extracts the weighted information measure of the direction structural in the fuzzy entropy feature space. Finally, the proposed method determines the edge pixel by an adaptive threshold after non-maxima suppression. The experiment demonstrates that the proposed method can extract the image edges effectively by means of the fuzzy edge detection.



Advanced Materials Research (Volumes 268-270)

Edited by:

Feng Xiong




X. Q. Ling et al., "Image Edge Detection Based on Direction Fuzzy Entropy", Advanced Materials Research, Vols. 268-270, pp. 1234-1238, 2011

Online since:

July 2011




[1] Guo Yutang, Lu Wanli and Luo Bin: The edge detection method based on fuzzy entropy and the edge structure characteristics. South China University of Technology (Natural Science), (2008).

[2] Yang Haijun, Liang Dequn: A new edge detection method based on Information measure and neural network. Electronics, (1), pp.51-53, (2001).

[3] Qi bing, Tang Liangrui, Zhang Jing: Insulator hydrophobicity detection method for images. CSEE, vol. 26 (31) , pp.120-124, (2008).

[4] BaoPing Wang, Liu Shenghu, et al.: An edge detection method based on fuzzy entropy and FKCN. Computer Newspaper, (4), pp : 664-669, (2006).

[5] Liu Jianlei, Zhao Jinxiu, Li Bo: The adaptive edge detection algorithm based on the gradient magnitude. Optoelectronic Technology, vol. 27 (3), pp.174-177, (2007).