A FUZZY DIFFERENCE BASED EDGE DETECTOR

Document Type : Research Paper

Authors

1 Electrical Engineering Department, Shahid Bahonar Univer- sity of Kerman, Kerman, Iran

2 School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran

3 Electrical Engineering Department, Shahid Bahonar Uni- versity of Kerman, Kerman, Iran

Abstract

In this paper, a new algorithm for edge detection based on fuzzy
concept is suggested. The proposed approach defi nes dynamic membership
functions for diff erent groups of pixels in a 3 by 3 neighborhood of the central
pixel. Then, fuzzy distance and -cut theory are applied to detect the edge
map by following a simple heuristic thresholding rule to produce a thin edge
image. A large number of experiments are employed to confi rm the robustness
of the proposed algorithm. In the experiments diff erent cases such as normal
images, images corrupted by Gaussian noise, and uneven lightening images
are involved. The results obtained are compared with some famous algorithms
such as Canny and Sobel operators, a competitive fuzzy edge detector, and a
statistical based edge detector. The visual and quantitative comparisons show
the e ffectiveness of the proposed algorithm even for those images that were
corrupted by strong noise.

Keywords

References

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Iranian Journal of Fuzzy Systems
Volume 9, Issue 6 - Serial Number 6
November and December 2012
Pages 69-85

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