Title :
Filters based on aggregation operators Part 2. The kolmogorov filters
Author :
Labunets, V.G. ; Gainanov, D.N. ; Ostheimer, E.
Author_Institution :
Ural Fed. Univ. named after the first President of Russia B. N. Yeltsin, Yekaterinburg, Russia
Abstract :
In this work, a new class of nonlinear filters called the generalized Kolmogorov filters for image processing is introduced. These filters are based on Kolmogorov-Maslov-Matkowski aggregation operators. We show that a large body of nonlinear filters proposed to date constitute a proper subset of the generalized Kolmogorov filters.
Keywords :
image processing; nonlinear filters; Kolmogorov-Maslov-Matkowski aggregation; generalized Kolmogorov filters; image processing; nonlinear filters;
Conference_Titel :
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-412-5
DOI :
10.1109/CRMICO.2014.6959848
