%0 Journal Article
%T Pretreatment for laser spot image in strong noise<br>强噪声条件下激光光斑图像预处理方法研究
%A DAI De-de
%A SUN Hua-yan
%A SONG Feng-hua
%A WU Wei-wei
%A <br>戴得德
%A 孙华燕
%A 宋丰华
%A 吴伟伟
%J 计算机应用
%D 2009
%I 
%X To investigate the de-noise ways of the strongly polluted laser spot image, a wavelet domain median filter and a combined filter based on wavelet-threshold and mathematics morphology were applied to inhibit the strong noise of laser spot images; the image Signal to Noise Ratio (SNR) and the Root-Mean-Square Error (RMSE) and the image gray surface chart were selected to estimate the de-noising effect of the images. Compared with other image filters, experimental results show that the de-noising effect of the Wavelet domain median filter is better than spatial domain median filter; when image noise reduction is carried out with the continuum method, the improved SNR is about 1.34 times of the wavelet transform algorithm and 3.14 times of the median filter; the RMSE is about 0.81 times of the wavelet transform algorithm and 0.50 times of the median filter; moreover, when the SNR of the former laser spot image is lower, the advantage of inhibiting noise of this method is more obvious.
%K image pretreatment
%K strong noise
%K wavelet domain median filter
%K morphology filter<br>图像预处理
%K 强噪声
%K 小波域中值滤波
%K 形态学滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=34DF226B7093C0CE62B31CDB333BFF2F&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=BFE7933E5EEA150D&eid=2FB640D6DF9A8790&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=8