New fuzzy edge detection method for image enhancement

Yau Hwang Kuo, Chang Shing Lee, Chao Chin Liu

Research output: Contribution to conferencePaperpeer-review

55 Citations (Scopus)

Abstract

A new method for detecting object edges, called Fuzzy Sobel method, is proposed in this paper. The fuzzy logic methodology is applied to extract feature value for an image and Sugeno-type fuzzy reasoning strategy is adopted for edge enhancement. Such a method can improve the drawbacks of conventional approaches, for instance, the Prewitt and Sobel methods. In the two traditional methods, they use fixed parameters for all kinds of images so that they might success in one image but fail in another one. Fuzzy Sobel method, on the other hand, can find four threshold values automatically and then use them to construct membership functions for each detected image. Therefore, Fuzzy Sobel method can determine the parameters adaptively for different images. The edges detected in Sobel method are often vague, but Fuzzy Sobel method can enhance edges and makes the resultant image clear.

Original languageEnglish
Pages1069-1074
Number of pages6
Publication statusPublished - 1997 Jan 1
EventProceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3) - Barcelona, Spain
Duration: 1997 Jul 11997 Jul 5

Other

OtherProceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3)
CityBarcelona, Spain
Period97-07-0197-07-05

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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