%0 Journal Article
%T Research on image transition region extraction and compression based on cross entropy<br>基于交叉熵的图像过渡区提取与压缩研究*
%A YUAN Sheng-zhi
%A LI Hong-zhou
%A YANG Li-bin
%A <br>袁胜智
%A 李洪周
%A 杨利斌
%J 计算机应用研究
%D 2009
%I 
%X To improve the performances of transition region extraction algorithm, this paper proposed a novel transition region algorithm based on minimum cross entropy. Then applied it to detect ROI automatically. Finally, realized the ROI compression scheme for infrared image on the frame of JPEG2000. It is proves that the method of image compression based on region of interest automatic detected is reliable effective, and significant in applications.
%K transition region
%K cross entropy
%K region of interest
%K infrared image<br>过渡区
%K 交叉熵
%K 感兴趣区
%K 红外图像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C0E012188E9465FC77D372F3B9283D92&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=AFCD3F338AF00150&eid=1421E1B2D379C651&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7