DocumentCode
1473662
Title
Edge detection in noisy images using fuzzy reasoning
Author
Russo, Fabrizio
Author_Institution
Dipt. di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
Volume
47
Issue
5
fYear
1998
fDate
10/1/1998 12:00:00 AM
Firstpage
1102
Lastpage
1105
Abstract
A new approach to edge detection in images corrupted by impulse noise is presented. The proposed method adopts fuzzy reasoning in order to extract edges without being deceived by the noise which is present in the data. Experimental results show that the fuzzy technique performs better than other methods in the literature from the point of view of sensitivity to noise and detection of image details
Keywords
edge detection; fuzzy systems; image enhancement; impulse noise; nonlinear filters; edge detection; fuzzy reasoning; fuzzy technique; image enhancement; image processing; impulse noise; noisy images; nonlinear filters; sensitivity; Aerospace materials; Data mining; Fuzzy reasoning; Fuzzy sets; Image edge detection; Noise cancellation; Noise level; Noise shaping; Pixel; Samarium;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.746564
Filename
746564
Link To Document