电子学报Issue(12)：2457-2466,10.DOI:10.3969/j.issn.0372-2112.2014.12.018
一种基于精细化稀疏自适应匹配追踪算法的图像检索方法研究
An I mage Retrieval Method Based on Meticulous Sparsity Adaptive Matching Pu rsu it Algorith m
摘要
Abstract
Based on compressed sensing theory,we research a meticulous sparsity adaptive matching pursuit algorithm,and propose a new method for digital image retrieval on this basis .Firstly,the original signal of color and vein are formed from RGB color and gray level co-occurrence matrix by order of column prior .Then,these two signals are measured by the blocked compres-sive sensing method,and measurement vectors are obtained which representing the color and texture features .Secondly,we recon-struct the image by blocks using the MSAMP(Meticulous Sparsity Adaptive Matching Pursuit)algorithm,and calculate the differ-ence and sparse value between the original blocked signals .Finally,we calculate the overall image similarity,and focus on estimating the sparseness of measurement difference .Because it does no need to recover the original signal precisely,so it can reduce the num-ber of iteration and accelerate the retrieval speed .Simulation results show that the retrieval speed and retrieval precision about this image retrieval algorithm based on compressive sensing signal have higher performance .关键词
压缩感知/图像检索/纹理特征/颜色特征/自适应匹配追踪Key words
compressive sensing/image retrieval/veins feature/color feature/adaptive matching pursuit分类
信息技术与安全科学引用本文复制引用
周燕,曾凡智,赵慧民,卢炎生,周月霞..一种基于精细化稀疏自适应匹配追踪算法的图像检索方法研究[J].电子学报,2014,(12):2457-2466,10.基金项目
国家自然科学基金（No．61272381）；广东省自然科学基金（No．1052800001000016，No．10452800001004185，No．S2012010008639）；广东省教育厅高校优秀青年创新人才培育（No．2012LYM－0132）；佛山市科技发展专项基金（No．2011AA100051，No．20121011010070）；佛山科学技术学院2013年优秀青年人才培育 （）
