Edge Detection Based on a Fuzzy Inference System

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4436-4440

DOI:

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

Citation:

S. L. Sun et al., "Edge Detection Based on a Fuzzy Inference System", Applied Mechanics and Materials, Vols. 121-126, pp. 4436-4440, 2012

Online since:

October 2011

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Price:

$35.00

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