%0 Journal Article
%T New denosing method for improving speckle image centroid accuracy<br>一种新型提高光斑图像质心精度的去噪方法*
%A XIAO Feng-gang
%A LIU Jian-guo
%A ZENG Cong-yong
%A LIU Zeng-dong
%A <br>肖锋钢
%A 刘建国
%A 曾淙泳
%A 刘增东
%J 计算机应用研究
%D 2008
%I 
%X This paper proposed a new noise reduction method combined both adaptive median filtering algorithm and threshold method. The difference between this median filtering method and other method was that, the size of the filter window was selected adaptively by the difference between the average gray in the slide window and the average gray of the background and object under the optimized threshold of the image. The experimental results show that, compared to the method only based on median filtering or simple threshold method, the signal noise ratio (SNR) of the image is improved by 10.42 dB, and the accuracy of the centroid is improved 80% by using the method proposed.
%K adaptive
%K median filter
%K threshold
%K threshold median filtering<br>自适应
%K 中值滤波
%K 阈值
%K 阈值中值滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D31F48B09879A4F1BD54BF9B9A0B171A&yid=67289AFF6305E306&vid=C5154311167311FE&iid=59906B3B2830C2C5&sid=9E1C1D195CB98FFA&eid=F19AD5ADFE708A86&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7