Title :
Edge detection in noisy images using fuzzy reasoning
Author_Institution :
Dipt. di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
fDate :
10/1/1998 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
