Image Edge Detection Based on Direction Fuzzy Entropy

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 268-270)

Edited by:

Feng Xiong

Pages:

1234-1238

DOI:

10.4028/www.scientific.net/AMR.268-270.1234

Citation:

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

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Price:

$35.00

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