计算机应用研究2011，Vol.28Issue(6)：2389-2391,3.DOI:10.3969/j.issn.1001-3695.2011.06.108
基于视觉标准模型和复数小波的自然图像识别
Visual standard model and complex wavelet-based nature images recognition
摘要
Abstract
This paper proposed an algorithm based on the dual-tree complex wavelet, which had approximate shift invariance and the good directional selectivity.The algorithm here could extract features with shift-invariance and seale-invariance and could solve the problem that computed complicatedly in visual standard model proposed by Serre.When tested on Caltechl0l database,the algorithm could achieve high recognition rate.Combined with up-bottom attention mechanism, the method could keep the recognition rate, and decreased the computation cost greatly.Experimental results show that the proposed algorithm can comparable to standard model but at a lower computation cost.关键词
双树复数小波/平移不变/尺度不变/Gabor小波/自上而下注意机制Key words
dual-tree complex wavelet/ shift-invariant/ scale-invariant/ Gabor filters/ up-bottom attention mechanism分类
信息技术与安全科学引用本文复制引用
郑桂芳,练秋生..基于视觉标准模型和复数小波的自然图像识别[J].计算机应用研究,2011,28(6):2389-2391,3.基金项目
河北省自然科学基金资助项目(F2010001294) （F2010001294）
