%0 Journal Article
%T A Segmentation Approach Based on Grayscale Level Connectivity in IR Image<br>一种基于灰度级连通性的红外图像分割方法
%A HU Xin
%A TANG Shuo
%A <br>胡欣
%A 唐硕
%J 计算机科学
%D 2007
%I 
%X A new segmentation approach is proposed based on grayscale level connectivity in IR image. In this connectivity, a grayscale image is connected if all level sets below a prespecified threshold are connected. First, the level-k characteristic opening using appropriate thresholding "keeps" only the regional maxima of image that are at or above level k, and flattens the rest. Second, level-k connected component decomposing based on target size can extract connected component that contain the objects of interest. The end step can segment target combining with simple thresholding. Experimental results in real IR images demonstrate the effectiveness and robustness of the proposed approach to enhance signal noise ratio, extract target and segment image.
%K IR image segmentation
%K Grayscale level connectivity
%K Level-k characteristic opening
%K Level-k connected component decomposing<br>红外图像分割
%K 灰度级连通性
%K k级特征开
%K k级连通成分分解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1E8759907DE654787DD8729C3297BD14&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=DF92D298D3FF1E6E&sid=9CA95D22FC1D537C&eid=C812B90E96151014&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9