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A new fusion approach for content based image retrieval with color histogram and local directional pattern

机译:一种基于颜色直方图和局部方向图的基于内容的图像检索融合新方法

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摘要

In this paper, we propose a novel color image retrieval approach by using an effective fusion of two types of histograms extracted from color and local directional pattern (LDP), respectively. First, we describe the extraction process of color histogram and LDP. Secondly we present these two features and then develop an effective fusion procedure including feature normalization and a new similarity metric. Thirdly, this new approach is validated after extensive comparisons with several existing state of the art approaches on two benchmark datasets including the Wang's dataset and large size of the Corel-10000 dataset. Finally, a friendly interface for this proposed retrieval system is designed and used to show some retrieval results.
机译:在本文中,我们提出了一种新颖的彩色图像检索方法,该方法利用了分别从颜色和局部方向性图案(LDP)提取的两种直方图的有效融合。首先,我们描述颜色直方图和LDP的提取过程。其次,我们介绍这两个特征,然后开发一种有效的融合程序,包括特征归一化和新的相似性度量。第三,在与两个基准数据集(包括Wang数据集和大型Corel-10000数据集)进行了广泛比较之后,对这种新方法进行了验证。最后,为该拟议的检索系统设计了一个友好的界面,并用于显示一些检索结果。

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