基于文本检索技术的CBIR算法研究

赵珊; 汤永利

doi:doi:10.3788/aos20092910.2721

光学学报, 2009, 29 (10): 2721, 网络出版: 2009-10-19

基于文本检索技术的CBIR算法研究

Image Retrieval Based on Text-Retrieval Technology

论文大纲

赵珊 ^1,2,*汤永利 ¹

作者单位

¹ 河南理工大学计算机科学与技术学院,河南焦作 454003

² 南京邮电大学江苏省图像处理与图像通信重点实验室,江苏南京 210003

摘要

为了有效地利用成熟的文本检索技术,提出了一种新的图像检索算法。根据人眼的视觉特性,借鉴方块编码的思想将图像分成互不重叠的子图像块,这些子图像块在很大程度上体现了原始图像中的边缘及纹理信息,对这些子图像块进行定义,从而构造对表征图像内容有意义的图像子特征;在此基础上,把图像动态映射成文本描述形式,然后以所映射的文本为关键字,利用成熟的文本检索技术来实现图像检索。该算法不仅充分利用了图像的内容信息,而且有效地引入了文本检索技术,实验结果表明该算法具有较高的检索效率。

Abstract

In order to introduce effectively text-retrieval technologies into content-based image retrieval,a novel method is presented. Firstly,according to the human visual feature and principle of the block truncation code (BTC),the image is divided into non-overlapped and equally-sized sub-blocks which can embody the texture and edge information of the original image. These blocks are defined and the sub-features are extracted,based on which the image is mapped into the text. Then,the text is chosen as key words and the technology of text-based retrieval is adopted for image retrieval. The content of the image and the text-based retrieval technology are considered,and experimental results have shown that the proposed method has sound and robust retrieval performance.

参考文献

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赵珊, 汤永利. 基于文本检索技术的CBIR算法研究[J]. 光学学报, 2009, 29(10): 2721. Zhao Shan, Tang Yongli. Image Retrieval Based on Text-Retrieval Technology[J]. Acta Optica Sinica, 2009, 29(10): 2721.

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