%0 Journal Article
%T AUTOMATIC IDENTIFICATION OF SALIENT OBJECT BASED ON MULTI-FEATURES IMAGES<br>基于多特征图像显著目标的自动识别
%A PIAN Zhao-Yu
%A MENG Xiang-Ping
%A SHU Ying-Li
%A <br>片兆宇
%A 孟祥萍
%A 舒英利
%J 红外与毫米波学报
%D 2009
%I Science Press
%X Many existing detecting algorithms of salient object mostly depend on the relationship between the pixels and lack the comprehension of salient object features.An unsupervised algorithm for automatically extracting the interesting object was presented.Firstly,the junior feature was extracted as basic elements of salient object by using a multiscale Gabor model with bionics characteristics.Then by combining with the understanding knowledge of the salient object,the local feature of image was defined and the ...
%K salient object
%K Gabor filter
%K difference ratio
%K fuzzy threshold<br>显著目标
%K 伽柏滤波器
%K 差异率
%K 模糊阈值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=0B0D1B2D28089C6443123CA168C4404D&yid=DE12191FBD62783C&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=2AC7DCCBBC26ECF8&eid=E42CAFB11D4BE21A&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=8