DocumentCode :
2464719
Title :
A new fuzzy edge detection method for image enhancement
Author :
Kuo, Yau-Hwang ; Lee, Chang-Shing ; Liu, Chao-Chin
Author_Institution :
Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
2
fYear :
1997
fDate :
1-5 Jul 1997
Firstpage :
1069
Abstract :
A new method for detecting object edges, called the fuzzy Sobel method, is proposed. The fuzzy logic methodology is applied to extract the feature value for an image and a 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 have success in one image but fail in another one. The 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, the fuzzy Sobel method can determine the parameters adaptively for different images. The edges detected in the Sobel method are often vague, but the fuzzy Sobel method can enhance edges and makes the resultant image clear
Keywords :
edge detection; fuzzy logic; fuzzy set theory; image enhancement; inference mechanisms; Prewitt methods; Sobel methods; Sugeno-type fuzzy reasoning strategy; fuzzy Sobel method; fuzzy edge detection method; fuzzy logic methodology; image enhancement; membership functions; threshold values; Chaos; Data mining; Feature extraction; Fuzzy logic; Fuzzy reasoning; Image analysis; Image edge detection; Image enhancement; Object detection; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
Type :
conf
DOI :
10.1109/FUZZY.1997.622858
Filename :
622858
Link To Document :
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