%0 Journal Article
%T Hierarchical Citrus Canker Recognition Based on HMAX Features<br>基于HMAX特征的层次式柑桔溃疡病识别方法
%A ZHU Qing-Sheng
%A ZHANG Min
%A LIU Feng
%A <br>朱庆生
%A 张敏
%A 柳锋
%J 计算机科学
%D 2008
%I 
%X A novel hierarchical approach based on HMAX features is proposed for citrus canker recognition. Citrus canker areas have different appearances and strong partial characteristics. HMAX feature is a scale-tolerant and oriental-tolerant complex feature set which is robust in object recognition. AdaBoost algorithm is efficient in boosting weak classifier to strong classifier. By using HMAX features and AdaBoost algorithm, an efficient classifier can be constructed with few samples. And from bottom up process ca...
%K Machine vision
%K HMAX features
%K AdsBoost
%K Hierarchical model
%K Classifier<br>机器视觉
%K HMAX特征
%K AdaBoost
%K 层次模型
%K 分类器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=C40DAA5332E5204B773F4CA1C8A6BC49&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=FA89360EB995A8AD&eid=E1D946F217E3B046&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9