%0 Journal Article
%T Improvement of top-hat based on soft morphology<br>基于软形态学的top-hat算子改进算法
%A LIN Xiao
%A ZHOU Da-ke
%A HU Yang-ming
%A <br>林　晓
%A 周大可
%A 胡阳明
%J 计算机应用研究
%D 2013
%I 
%X To detect infrared small target under complex background, this paper presented a new class of top-hat operator based on soft morphology, and proposed a background suppression method based on soft morphology. In the proposed framework, it used mutual information to select the structure element scale adaptively, divided the structuring element into two parts, i. e. , the core and the soft boundary in order to meet the actual situation of the real target. Finally, designed a novel filtering framework, called balance structure to suppress filtering bias. Experiment results show that the output SNR of complex sea clutter background with 2. 36 dB can achieve 22. 51 dB. In the sense of visual effect and quantitative index, the proposed method performs better than several mathematics morphology based methods such as the classical top-hat, modified top-hat, soft top-hat and suppresses the infrared images of the complex background effectively.
%K infrared image
%K background suppression
%K mathematics morphology
%K target detection<br>红外图像
%K 背景抑制
%K 数学形态学
%K 目标检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DD8ECC43358E540D0B06CC68AEF3B857&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=72EB001A9B3C78CE&eid=1C7C31A28F5ECC6F&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15