Edge Detection Based on a Fuzzy Inference System

Shu Liang Sun; Cheng Lian Liu; Si Sheng Chen

doi:10.4028/www.scientific.net/AMM.121-126.4436

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Edge Detection Based on a Fuzzy Inference System

Edge Detection Based on a Fuzzy Inference System

Abstract:

First-order linear ﬁlter is a wide application algorithm to detect edge in digital image. However it dosen’t make good effort to the image where contrast varies much, or luminance takes on non-uniform. In this paper, a fuzzy inference system (FIS) is made up and used to detect edges. The experiment shows that FIS is much better in edge detection when the image with high contrast variation than with the linear Sobel operator. The FIS is also more precise in edge detection than Sobel operator.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

4436-4440

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.4436

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Online since:

October 2011

Authors:

Shu Liang Sun, Cheng Lian Liu, Si Sheng Chen

Keywords:

Edge Detection, Fuzzy Inference System (FIS), Sobel Operator, Threshold

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