%0 Journal Article
%T An adaptive median filter algorithm based on B-spline function<br>
%A Mei-Sen Pan
%A Jing-Tian Tang
%A Xiao-Li Yang
%A <br>
%J 国际自动化与计算杂志
%D 2011
%I 
%X According to the B-spline convolution mask, first, the contrast sensitiveness (CS) is computed and then is viewed as a noise sensitiveness coefficient (NSC) to adaptively determine a noise-recognized threshold value. Based on the noise density function (NDF) in a 3*3 window, the filtering window size is adaptively adjusted, and then a median filter is used to eliminate the noise-marked pixels. The experiment results show that the proposed algorithm can preserve image detail information well and effectively remove the noises, particularly the impulse noises that is also called salt-and-pepper noises superimposed on the computed tomography (CT) and magnetic resonance imaging (MRI) medical images.
%K Salt-and-pepper noise
%K median filter
%K human vision system
%K B-spline<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7139AD613512F4F05F6D525B914296AA&aid=9D8DD26AD7310161BF90C4BFA8F887A0&yid=9377ED8094509821&vid=5D311CA918CA9A03&iid=CA4FD0336C81A37A&sid=08805F9252973BA4&eid=A4FA325EA800C820&journal_id=1476-8186&journal_name=国际自动化与计算杂志&referenced_num=0&reference_num=20