Title :
Edge extraction by FIRE operators
Author :
Russo, Fabrizio ; Ramponi, Giovanni
Author_Institution :
Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
Abstract :
FIRE (fuzzy inference ruled by else-action) operators are a recently proposed family of fuzzy operators for image processing. After an introduction of the generalized structure of the FIRE edge extractor, in this paper it is shown how FIRE operators can be designed in order to comply with the following two requirements: 1) extraction of edges from a noiseless image by means of the simplest possible rule-base; 2) extraction of edges from a noisy image. Some experimental results show the performances of the proposed approach
Keywords :
edge detection; feature extraction; fuzzy logic; inference mechanisms; knowledge based systems; FIRE operators; edge extraction; else-action; fuzzy inference; generalized structure; image processing; noiseless image; Detectors; Feedforward neural networks; Fires; Humans; Image edge detection; Image processing; Input variables; Multi-layer neural network; Neural networks; Pixel;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343744
