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COMBINED COLOUR AND CONTOUR REPRESENTATION USING ANTI-ALIASED HISTOGRAMS

机译:使用反锯齿直方图的组合颜色和轮廓表示

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摘要

Image databases require accurate colour image retrieval, minimal storage requirements, and fast query execution. Histograms have been used to compactly represent colour distributions providing low storage requirements and fast query execution. We propose the novel idea to also use histograms to represent contour distributions. Our contour distribution approach is shown to perform as well as an exhaustive contour comparison approach. In addition, anti-aliased histograms also known as fuzzy histograms are applied to reduce the storage requirements and query times by a factor of four. Colour and contour similarities are combined to provide more accurate query results than either individual technique.
机译:图像数据库需要准确的彩色图像检索,最小的存储要求和快速的查询执行。直方图已被用于紧凑地表示颜色分布,从而提供较低的存储要求和快速的查询执行。我们提出了一种新颖的想法,即也可以使用直方图来表示轮廓分布。我们的轮廓分布方法显示出与穷举轮廓比较方法一样的性能。另外,应用了抗锯齿直方图(也称为模糊直方图)将存储需求和查询时间减少了四倍。颜色和轮廓的相似性相结合,以提供比任何一种单独技术都更为准确的查询结果。

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