Fuzzy developments of multichannel median filters

The aim of the paper is to introduce two new multichannel median type filters, obtained by vector extension of their scalar (gray scale image) counterparts. The two filters are typical examples for two situations in image processing: the use of the fuzzy attribute to justify the weighting factors and the fuzzy attribute as descriptor for rule-based processing.

[1]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[2]  Marius Malciu,et al.  Median filtering techniques for vector valued signals , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[3]  Moncef Gabbouj,et al.  A new class of multichannel image processing filters , 1999, NSIP.

[4]  Ali M. Reza,et al.  Fuzzy cluster filter , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[5]  Ioannis Pitas,et al.  Multichannel L filters based on marginal data ordering , 1994, IEEE Trans. Signal Process..

[6]  Xiahua Yang,et al.  Adaptive fuzzy multilevel median filter , 1995, IEEE Trans. Image Process..

[7]  V. Barnett.  The Ordering of Multivariate Data , 1976 .

[8]  Ioannis Pitas,et al.  Multichannel L filters based on reduced ordering , 1996, IEEE Trans. Circuits Syst. Video Technol..

[9]  Ioannis Pitas,et al.  Nonlinear Digital Filters - Principles and Applications , 1990, The Springer International Series in Engineering and Computer Science.

[10]  Panos E. Trahanias,et al.  Vector directional filters-a new class of multichannel image processing filters , 1993, IEEE Trans. Image Process..

[11]  J. Astola,et al.  Vector median filters , 1990, Proc. IEEE.