A new gaussian noise filter based on interval type-2 fuzzy logic systems

Soft Computing

Volumn 9, Issue 5, 2005, Pages 398-406

  Wang, S T ^a,b   Chung, F L ^a   Li, Y Y ^b   Hu, D W ^c   Wu, X S ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b JIANGNAN UNIVERSITY   (China)

^c NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Filter; Fuzzy logic systems; Gaussian noise; Image processing; Neural networks; Type 2 fuzzy sets

Indexed keywords

DIGITAL FILTERS; FORMAL LOGIC; FUZZY SETS; IMAGE PROCESSING; SPURIOUS SIGNAL NOISE;

FUZZY LOGIC SYSTEMS; FUZZY LOGIC SYSTEMS FILTER; GAUSSIAN NOISE; SELECTIVE FEEDBACK FUZZY NEURAL NETWORK;

RECURRENT NEURAL NETWORKS;

EID: 17244380442     PISSN: 14327643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00500-004-0362-y     Document Type: Article

References (20)

1. Zhang Z, Zhang Y (2000) An averaging-based adaptive filter. J Image Graphics 5(A)(6): 530-534
2. Zhang Y Wang XQ (1999) Adaptive center weighted modified trimmed mean filter. J Tsinghua University (Sci&Tech) 39(9): 76-78
3. Cai J, Yang JS (2000) Fuzzy weighted average filter. J Image Graphics 5(A)(1): 52-56
4. Mendel JM. Uncertain rule-based fuzzy logic systems: Introduction and new directions. Prentice-Hall, 2000
5. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-1. Information Science, 8: 199-249
6. Mendel JM (1998) An introduction to type-2 fuzzy logic systems. U of Southern California Tech Rep, Oct. (http://sipi.usc.due/_e1mendel/report)
7. Karnik NN, Mendel JM (2001) Operations on type-2 fuzzy set. Fuzzy Sets&Systems, (122): 327-348
8. Chaneau JL, Gunaratne M, Altschaeffl AG (1987) An application of type-2 sets to decision making in engineering. In: JC Bezdek (ed.), Analysis of Fuzzy Information, vol.II: Artificial Intelligence and Decision Systems, CRC Press, Boca Raton, FL
9. Yager RR (1980) Fuzzy subsets of type II in decision. J Cybernetics (10): 137-159
10. Wagenknecht M, Hartmann K (1988) Application of fuzzy sets of type 2 to the solution of fuzzy equation systems Fuzzy Sets&Systems, (25): 183-190
11. Karnik NN, Mendel JM (1999) Applications of type-2 fuzzy logic systems to forecasting of time-series. Information Sciences, (120): 89-111
12. John RI, Innocent PR, Barnes MR (1998) Type 2 fuzzy sets and neuro-fuzzy clustering of radiographic tibia images. Proc. of 1998 IEEE International Conference on Fuzzy Systems, Anchorage 1373-1376
13. Wang Shitong (1998) Neuro-fuzzy systems and their applications. Press of Beijing Aeronautical University
14. Karnik NN, Mendel JM, Liang Q (1999) Type-2 fuzzy logic systems. IEEE Trans. Fuzzy Systems,7(6): 643-658
15. Karnik NN, Mendel JM (2001) Centroid of a type-2 fuzzy set. Information Science, (132): 195-220
16. Liu PY, Li HX (2002) The restoration of imagery based on fuzzy neural network. Sci. China Ser 32(4): 541-552
17. Wang Shitong et al., (2003) Integrating rough set and FNN to discovery/ simplify fuzzy rules. Intelligent data analysis,(1)
18. Wang Shitong, Chung FL et al., Note on the relationship between probabilistic/fuzzy clustering, to appear in Soft Computing
19. Wang Shitong et al., (2002) A new integrated clustering algorithm GFC and switching regressions. Pattern Recognition and Artificial Intelligence, (16)(4): 433-446
20. Wang Shitong et al., Novel Gaussian noise filter using type-2 FLS. Chinese Journal of Computer Research and Development (in Chinese) (accepted)