Edge Detection Combined Local Gray Level Difference and Competitive Fuzzy Logic

Tong Tong; Yan Cai; Da Wei Sun

doi:10.4028/www.scientific.net/AMM.220-223.1284

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Edge Detection Combined Local Gray Level...

Edge Detection Combined Local Gray Level Difference and Competitive Fuzzy Logic

Abstract:

In this paper, we present a new approach by local gray level difference based competitive fuzzy edge detection. In the light of human visual perception, a preprocessing step is proposed to simplify original images and further enhance the performance of edge extraction. Then we define the feature vector of each pixel in four directions and six edge prototype. Finally, BP neural network is used to classify the type of edge, and the competitive rule is adopted to thin the thick edge image. From the experimental result, it can be seen that the edge detection method proposed in this paper is superior to Canny method and Log method under the noisy condition.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

1284-1287

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.1284

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Online since:

November 2012

Authors:

Tong Tong, Yan Cai, Da Wei Sun

Keywords:

Competitive, Edge Detection, Neural Network (NN), Transition Region

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References

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