Edge extraction by FIRE operators

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.<<ETX>>

[1]  Sim Heng Ong,et al.  Single-layer edge detector with competitive unsupervised learning , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[2]  L. Moura,et al.  Edge detection through cooperation and competition , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[3]  Giovanni Ramponi,et al.  Fuzzy operator for sharpening of noisy images , 1992 .

[4]  Giovanni Ramponi,et al.  Working on image data using fuzzy rules , 1992 .

[5]  F. Russo,et al.  A user-friendly research tool for image processing with fuzzy rules , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[6]  James M. Keller,et al.  Evidence aggregation networks for fuzzy logic inference , 1992, IEEE Trans. Neural Networks.

[7]  J. Bremont,et al.  Multi-level image segmentation using fuzzy clustering and local membership variations detection , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[8]  Rama Chellappa,et al.  A neural network based edge detector , 1993, IEEE International Conference on Neural Networks.

[9]  F. Russo.  A new class of fuzzy operators for image processing: design and implementation , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[10]  W. Thompson,et al.  A fuzzy if-then approach to edge detection , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[11]  Giovanni Ramponi,et al.  Nonlinear fuzzy operators for image processing , 1994, Signal Process..

[12]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.