使用感知加权直方图进行基于颜色的图像检索

Guojun Lu, J. Phillips
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引用次数: 35

摘要

在常见的基于颜色的图像检索中,计算数据库中图像的颜色直方图和查询。查询与每个数据库图像之间的距离计算为其直方图之间bin对bin差异的绝对值之和。该方法忽略了箱子之间的颜色相似性,导致感知上相似的图像具有非常大的直方图距离的情况。在本文中,我们提出使用感知加权直方图(PWH)来克服这个问题。在PWH中,一个像素将权重贡献给许多感知上相似的bin,而不是单个bin。贡献权重与像素和箱子之间的距离成反比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using perceptually weighted histograms for colour-based image retrieval
In common colour-based image retrieval, colour histograms for images in the database and queries are calculated. The distance between a query and each of the database images is calculated as the sum of the absolute values of bin-to-bin differences between their histograms. The method ignores colour similarity between bins, leading to cases where perceptually similar images have very large histogram distances. In this paper, we propose to use perceptually weighted histograms (PWH) to overcome the problem. In PWH, a pixel contributes weights to a number of perceptually similar bins instead of a single bin. The contributing weights are inversely proportional to the distance between the pixel and bins.
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