%0 Journal Article
%T Segmentation of MELK images based on watershed algorithm<br>基于分水岭算法的MELK图像分割
%A CAI Nian
%A TANG Xiao-yan
%A XU Shao-rui
%A LI Fang-zhen
%A <br>蔡念
%A 唐孝艳
%A 许少睿
%A 李防震
%J 计算机应用研究
%D 2009
%I 
%X This paper proposed a segmentation method for MELK images based on a watershed algorithm, which was applied to segment the MELK images that include little information. Employed several techniques to solve the over-segmentation problem in the watershed algorithm. Firstly, used a Gaussian lowpass filter to enhance the MELK images. Provided weighted difference operators to obtain the gradient images, and processed the gradient images by a watershed algorithm after thresholded them by the Ostu method. At last, segmented MELK images based on a region merging algorithm called RAG method. The experimental results indicate that the proposed method is feasible to segment the MELK images which include little information.
%K topological proteomics
%K image segmentation
%K watershed algorithm
%K MELK image<br>拓扑蛋白质组学
%K 图像分割
%K 分水岭算法
%K 多抗原配体图谱图像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A3B76DC9192701C286161F489D2F2331&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=B9426CD943A8A0A4&eid=389B0D33D859BE05&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13