DocumentCode :
1954894
Title :
A modified fuzzy Sobel edge detector
Author :
El-Khamy, Said E. ; Lotfy, Mona ; El-Yamany, Noha
Author_Institution :
Dept. of Electr. Eng., Alexandria Univ., Egypt
fYear :
2000
fDate :
2000
Abstract :
A modified fuzzy Sobel method for edge detection and enhancement is proposed. This method is a modification of the fuzzy Sobel method proposed by Kuo, Lee and Liu see (IEEE Conference on Fuzzy Systems, p.1069-74, 1997). The proposed method overcomes the drawbacks of the conventional gradient methods for edge detection such as Prewitt and Sobel methods. It automatically obtains four threshold values, and apply fuzzy reasoning for edge enhancement. The edges extracted by this method are very clear and provides better representation for image edges and object contours
Keywords :
edge detection; feature extraction; fuzzy logic; image enhancement; image representation; inference mechanisms; edge detection; edge enhancement; fuzzy Sobel method; fuzzy logic; fuzzy reasoning; gradient methods; image representation; modified fuzzy Sobel edge detector; object contours; threshold values; Biomedical imaging; Detectors; Digital images; Electronic mail; Fuzzy reasoning; Gradient methods; Image edge detection; Multimedia communication; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Conference, 2000. 17th NRSC '2000. Seventeenth National
Conference_Location :
Minufiya
Print_ISBN :
977-5031-64-8
Type :
conf
DOI :
10.1109/NRSC.2000.838961
Filename :
838961
Link To Document :
بازگشت