计算机应用研究2013，Vol.30Issue(7)：2210-2212,3.DOI:10.3969/j.issn.1001-3695.2013.07.072
基于半监督学习的一种图像检索方法
Image retrieval method based on semi-supervised learning
摘要
Abstract
In order to improve the quality of image retrieval,this paper put forward a semi-supervised learning-based image retrieval method.The method extracted the color,shape and textural features of image,calculated the central image of the classified sample,and then utilized the central image to adjust the correlation calculation function adaptively during the process of retrieval.Finally,it obtained the retrieval and reordered results by the correlation with the retrieval image.The experimental results show that this method has a higher precision than the existing content-based image retrieval method.At the same time,the precision-recall curve shows that this semi-supervised learning-based image retrieval method can achieve a nice retrieval quality.关键词
基于内容的图像检索/半监督学习/图像特征/相关度/查准率—查全率曲线Key words
content-based image retrieval/semi-supervised learning/image feature/correlation/recall-precision curve分类
信息技术与安全科学引用本文复制引用
谢辉,陆月明,孙松林..基于半监督学习的一种图像检索方法[J].计算机应用研究,2013,30(7):2210-2212,3.基金项目
国家高技术研究发展计划资助项目(2011AA01 A204) （2011AA01 A204）
