Title :
Edge detection in noisy images using fuzzy reasoning
Author_Institution :
DEEI, Trieste Univ., Italy
Abstract :
A new approach to edge detection in images corrupted by impulsive 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 logic; inference mechanisms; edge detection; fuzzy reasoning; image details; impulsive noise; noisy images; sensitivity; Aerospace materials; Data mining; Fuzzy reasoning; Fuzzy sets; Image edge detection; Noise cancellation; Noise level; Noise shaping; Pixel; Samarium;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
Conference_Location :
St. Paul, MN
Print_ISBN :
0-7803-4797-8
DOI :
10.1109/IMTC.1998.679808
