caa a22 4500 606160515 CHVBK 20210128100630.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1734-6 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1734-6 Catak Nursin Department of Mathematics, Ege University, Izmir, Turkey aut A novel stochastic mean filter based on Ornstein-Uhlenbeck process [Elektronische Daten] [Nursin Catak] In this paper, a stochastic differential equation based on Ornstein-Uhlenbeck (OU) process has been employed to image enhancement and edge detection processes. The simulation results show that the method is efficient to enhance the color image. In addition, the performance of OU method on edge detection is acceptable in both gray and color images. The Natural Computing Applications Forum, 2014 Ornstein-Uhlenbeck process nationallicence Stochastic differential equations nationallicence Image processing nationallicence Neural Computing and Applications Springer London 26/2(2015-02-01), 391-397 0941-0643 26:2<391 2015 26 521 https://doi.org/10.1007/s00521-014-1734-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1734-6 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Catak Nursin Department of Mathematics, Ege University, Izmir, Turkey aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 391-397 0941-0643 26:2<391 2015 26 521