%0 Journal Article
%T The mining of stable image feature-compositions in object recognition<br>目标识别中的稳定图像特征组合发掘
%A Jiang Yongbing
%A Peng Qimin
%A <br>姜永兵
%A 彭启民
%J 中国图象图形学报
%D 2012
%I 
%X In order to improve the stability and discrimination of local feature combination for image representation,two image mediate-level representations,Inter-CSP(inter-class common stable pattern) and ntra-SSP(intra-class special stable pattern) are proposed.The details of processing are given,which can be divided into statistic-filtering,pattern decomposition,pattern summarization,and item-based geometric relation modeling on frequent item_sets mined from image semi-local features.A recognition framework is introduced based on Inter-CSP and Intra-SSP.The experiment results demonstrate that these two kinds of patterns are superior to classical methods.
%K frequent item set
%K pattern decomposition
%K pattern summarization
%K stable pattern<br>频繁项集
%K 模式分解
%K 模式总结
%K 稳定模式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9903A07B9322879AEF35D2182B326F50&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=A4FA325EA800C820&eid=03F1579EF92A5A32&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=15