Color-Based Image Retrieval Using Perceptually Modified Hausdorff Distance

Color-Based Image Retrieval Using Perceptually Modified Hausdorff Distance
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DOI:
10.1155/2008/263071
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发表时间:
2008
影响因子:
2.4
通讯作者:
Bo-Gun Park;Kyoung Mu Lee;Sang Uk Lee
Bo-Gun Park;Kyoung Mu Lee;Sang Uk Lee
中科院分区:
计算机科学4区
文献类型:
--
作者:
Bo-Gun Park;Kyoung Mu Lee;Sang Uk Lee

文献摘要

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在大多数基于内容的图像检索系统中,颜色信息因其简单性和通用性而被广泛使用。由于其在表征全局信息方面的紧凑性,颜色的均匀量化或直方图一直是最常用的颜色描述符。然而,基于聚类的表示或签名已被证明比直方图更紧凑,并且在理论上更合理,以增加区分能力并减少人类感知与计算机辅助检索系统之间的差距。尽管有这些优点,只有少数文献提出了基于聚类的颜色非均匀量化的相异性度量。在本文中,我们提取的原始彩色图像的感知表示,通过修改一般的颜色签名,它由一组点的统计体积的统计签名。此外,我们提出了一种新的相异性测量的统计签名称为感知修改Hausdorff距离(PMHD),是基于Hausdorff距离。在结果中,所提出的检索系统将图像视为统计签名,并使用PMHD作为统计签名之间的度量。精确率与召回率的结果表明,建议的相异度措施一般优于所有其他的相异度措施在未经修改的商业图像数据库。
In most content-based image retrieval systems, the color information is extensively used for its simplicity and generality. Due to its compactness in characterizing the global information, a uniform quantization of colors, or a histogram, has been the most commonly used color descriptor. However, a cluster-based representation, or a signature, has been proven to be more compact and theoretically sound than a histogram for increasing the discriminatory power and reducing the gap between human perception and computer-aided retrieval system. Despite of these advantages, only few papers have broached dissimilarity measure based on the cluster-based nonuniform quantization of colors. In this paper, we extract the perceptual representation of an original color image, a statistical signature by modifying general color signature, which consists of a set of points with statistical volume. Also we present a novel dissimilarity measure for a statistical signature called Perceptually Modified Hausdorff Distance (PMHD) that is based on the Hausdorff distance. In the result, the proposed retrieval system views an image as a statistical signature, and uses the PMHD as the metric between statistical signatures. The precision versus recall results show that the proposed dissimilarity measure generally outperforms all other dissimilarity measures on an unmodified commercial image database.