| 基于BoC-BoF特征的图像检索方法研究 |
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| 引用本文： | 冯进丽,杨红菊. 基于BoC-BoF特征的图像检索方法研究[J]. 计算机科学, 2015, 42(4): 297-301 |
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| 作者姓名： | 冯进丽 杨红菊 |
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| 作者单位： | 1. 山西大学计算机与信息技术学院 太原030006
2. 山西大学计算机与信息技术学院 太原030006;山西大学计算智能与中文信息处理教育部重点实验室 太原030006 |
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| 基金项目： | 本文受国家自然科学基金(61201453),山西省自然科学基金(2012011014-4),山西省教育厅专项(20110002)资助 |
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| 摘 要： | 为了优化基于内容的图像检索方法,提出了一种融合特征来表征图像内容.首先,提取基于RootSift描述子的特征词袋(Bag-of-Features,BoF)表示向量,获得图像的边缘和形状信息;其次,采用基于HSV的颜色词袋(Bag-of-Colors,BoC)表示向量来代替传统颜色直方图方法,获取图像的颜色信息;最后,将BoF表示向量和BoC表示向量相融合,形成BoC-BoF特征向量.BoC-BoF特征有效地实现了全局特征和局部特征的融合.两个数据集检索的实验结果表明,该方法比其它方法更加有效.
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| 关 键 词： | 颜色词袋 特征词袋 图像检索 RootSift |
Image Retrieval Method Research Based on BoC-BoF Feature |
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| FENG Jin-li and YANG Hong-ju. Image Retrieval Method Research Based on BoC-BoF Feature[J]. Computer Science, 2015, 42(4): 297-301 |
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| Authors: | FENG Jin-li and YANG Hong-ju |
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| Affiliation: | School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China and School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China;Key Laboratory of Computational Intelligence & Chinese Information Processing of Ministry of Education,Shanxi University,Taiyuan 030006,China |
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| Abstract: | The fusion feature for representing content of images was investigated in order to optimize content-based ima-ge retrieval method.Firstly,RootSift-based Bag-of-Features (BoF) were extracted,which capture shape and edge information.Then,Bag-of-Colors (BoC) based on HSV were adopted to replace the traditional color histogram quantization method was adopted,which capture color information.Lastly,BoC-BoF algorithm which integrates BoC vectors and BoF vectors was proposed.BoC-BoF algorithm effectively realizes the integration of global features and local features.The obtained impressive results show that this algorithm is more effective than other methods in two datasets of this paper. |
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| Keywords: | Bag-of-colors Bag-of-features Image retrieval RootSift |
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