New fuzzy edge detection method for image enhancement

Yau Hwang Kuo, Chang Shing Lee, Chao Chin Liu

研究成果: Paper

46 引文 (Scopus)

摘要

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.

原文English
頁面1069-1074
頁數6
出版狀態Published - 1997 一月 1
事件Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3) - Barcelona, Spain
持續時間: 1997 七月 11997 七月 5

Other

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

指紋

Image Enhancement
Image enhancement
Edge Detection
Edge detection
Membership functions
Fuzzy logic
Edge Enhancement
Fuzzy Reasoning
Threshold Value
Membership Function
Fuzzy Logic
Methodology

All Science Journal Classification (ASJC) codes

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

引用此文

Kuo, Y. H., Lee, C. S., & Liu, C. C. (1997). New fuzzy edge detection method for image enhancement. 1069-1074. 論文發表於 Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3), Barcelona, Spain, .
Kuo, Yau Hwang ; Lee, Chang Shing ; Liu, Chao Chin. / New fuzzy edge detection method for image enhancement. 論文發表於 Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3), Barcelona, Spain, .6 p.
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title = "New fuzzy edge detection method for image enhancement",
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Kuo, YH, Lee, CS & Liu, CC 1997, 'New fuzzy edge detection method for image enhancement', 論文發表於 Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3), Barcelona, Spain, 97-07-01 - 97-07-05 頁 1069-1074.

New fuzzy edge detection method for image enhancement. / Kuo, Yau Hwang; Lee, Chang Shing; Liu, Chao Chin.

1997. 1069-1074 論文發表於 Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3), Barcelona, Spain, .

研究成果: Paper

TY - CONF

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AB - 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.

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Kuo YH, Lee CS, Liu CC. New fuzzy edge detection method for image enhancement. 1997. 論文發表於 Proceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3), Barcelona, Spain, .