Comparison of different CBIR techniques

Meenakshi Madugunki, D. Bormane, Sonali Bhadoria, C. Dethe
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引用次数: 40

Abstract

Image retrieval is a poor stepchild to other forms of information retrieval (IR). Image retrieval has been one of the most interesting and vivid research areas in the field of computer vision over the last decades. Content-Based Image Retrieval (CBIR) systems are used in order to automatically index, search, retrieve, and browse image databases. Color and texture features are important properties in content-based image retrieval systems. In this paper we have mentioned detailed classification of CBIR system. Also we have discussed about the efficiency of different techniques used in CBIR. We have compared different techniques as well as the combinations of them to improve the performance. We have also compared the effect of different matching techniques on the retrieval process.
不同CBIR技术的比较
与其他形式的信息检索(IR)相比,图像检索是一个糟糕的继子。在过去的几十年里,图像检索一直是计算机视觉领域最有趣和最生动的研究领域之一。基于内容的图像检索(CBIR)系统用于自动索引、搜索、检索和浏览图像数据库。颜色和纹理特征是基于内容的图像检索系统的重要属性。本文详细介绍了CBIR系统的分类。此外,我们还讨论了在CBIR中使用的不同技术的效率。我们比较了不同的技术以及它们的组合,以提高性能。我们还比较了不同匹配技术对检索过程的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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