Weighted smoothing filters based on fuzzy logic

• Autorzy: Pęksiński J. , Mikołajczak G.
• Konferencja: Computer Applications in Electrical Engineering 2010 [Poznań, April 19-21, 2010]
• Języki publikacji: EN

Abstrakty

EN

The paper presents two-dimensional non-linear weighted average filter, for which weights were selected using fuzzy logic. The proposed algorithm was tested using test images in 256 shades of grey, jammed using white noise characterised by normal distribution. The mean square error (MSE) measure was used as a criterion for filtration quality assessment. The PIF coefficient was employed to assess filter impact on image structure.

Słowa kluczowe

EN

smoothing filter; fuzzy logic; MSE; mean square error

PL

filtr wygładzający; logika rozmyta; średni błąd kwadratowy

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Poznan University of Technology Academic Journals. Electrical Engineering
• Rocznik: 2010
• Tom: No. 63
• Strony: 17--23
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Pęksiński J.

autor

Mikołajczak G.

• West Pomeranian University of Technology, Szczecin

Bibliografia

• [1] Astola J., Kuosmanen P.: Fundamentals of Nonlinear Digital Filtering. CRC Press, 1997.
• [2] S.K Mitra, G.L. Sicuranza: Nonlinear Image Processing Academic Press 2001.
• [3] Russo F. Nonlinear Fuzzy Filters: an Overview http://www.univ.trieste.
• [4] I.N. Bronsztejn i in.: Modern compendium of mathematics PWN W-wa 2004.
• [5] W.K. Pratt: Digital Image Processing. Wiley Interscience, New York 1978.
• [6] S.I. Olsen: Estimation of Noise in Images: An evaluation. Graph. Models Image Process, vol. 55, 1993, pp. 319-323.
• [7] E. Kornatowski: Probabilistic Measure of Signal Image Fidelity. Kwartalnik Elektroniki i Telekomunikacji [Electronics and Telecommunications Quarterly], 1999, 45, book 3-4 p. 295-307.