An efficient image retrieval using central tendency

R. Malini, C. Vasanthanayaki
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引用次数: 0

Abstract

This paper aims to improve the effectiveness of retrieving images on the basis of color content. The paper is organized as follows. Firstly, a mean based technique with reduced feature vector is proposed. Secondly, a new idea to extract the features of an image based on the measure of central tendency is proposed. The proposed mean based technique is compared with existing color averaging techniques for retrieval speed and memory requirement. Finally the proposed mean based technique is compared with the measures of central tendency for retrieval efficiency. The proposed CBIR techniques are tested on generic image database and indexed image database. Experimental results shows that proposed method based on the measures of central tendency gives better performance in terms of higher precision and recall values with less computational complexity.
一种基于集中趋势的图像检索方法
本文旨在提高基于颜色内容的图像检索的有效性。本文组织如下。首先,提出了一种基于均值的特征向量约简技术。其次,提出了一种基于集中趋势度量的图像特征提取方法。在检索速度和内存需求方面,将基于均值的方法与现有的颜色平均方法进行了比较。最后,将基于均值的方法与集中趋势的方法进行了检索效率的比较。在通用图像数据库和索引图像数据库上对所提出的CBIR技术进行了测试。实验结果表明,基于集中趋势度量的方法在计算复杂度较低的情况下具有较高的查全率和查全率。
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