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AN EFFICIENT CONTENT BASED IMAGE RETRIEVAL METHOD FOR RETRIEVING IMAGES

机译:一种基于有效内容的图像检索方法

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摘要

Quality, efficiency and scalability are the key issues in the design of image retrieval systems for large image databases. Although the quality of image retrieval methods still depends strongly on the application domain, color based retrieval techniques have been shown to be competitive and generally applicable. However, the retrieval algorithms based on color histograms largely ignore spatial information in the matching process. In this paper, we propose a technique to improve the retrieval process by image regions matching. We carried out an experiment on an image database containing 8000 images. The experimental results show that our proposed technique is more effective than the other retrieval techniques such as color histogram based and Color Based Clustering based techniques.
机译:质量,效率和可伸缩性是设计大型图像数据库的图像检索系统的关键问题。尽管图像检索方法的质量仍在很大程度上取决于应用领域,但基于颜色的检索技术已显示出竞争优势并且普遍适用。但是,基于颜色直方图的检索算法在匹配过程中很大程度上忽略了空间信息。在本文中,我们提出了一种通过图像区域匹配来改善检索过程的技术。我们对包含8000张图像的图像数据库进行了实验。实验结果表明,我们提出的技术比基于颜色直方图和基于颜色聚类的其他检索技术更有效。

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