Paper Title:
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.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
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, C. L. Liu, S. S. Chen, "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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