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Content-based image retrieval using Legendre chromaticity distribution moments

机译:使用Legendre色度分布矩的基于内容的图像检索

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摘要

It is a well-known fact that the direct storing and comparison of the histogram for the purpose of content-based image retrieval (CBIR) is inefficient in terms of memory space and query processing time. It is shown that the set of Legendre chromaticity distribution moments (LCDM) provides a compact, fixed-length and computation effective representation of the colour contents of an image. Only a small fixed number of compact LCDM features need to be stored to effectively characterise the colour content of an image. The need to store the whole chromaticity histogram is circumvented. Consequently the time involved in database querying is reduced. It is also shown that LCDM can be computed directly from the chromaticity space without first having to evaluate the chromaticity histogram.
机译:众所周知的事实是,出于基于内容的图像检索(CBIR)的目的,直方图的直接存储和比较在存储空间和查询处理时间方面效率低下。结果表明,勒让德色度分布矩(LCDM)的集合提供了图像颜色内容的紧凑,固定长度和计算有效的表示。仅需要存储少量固定数量的紧凑型LCDM功能,即可有效地表征图像的颜色内容。避免了存储整个色度直方图的需要。因此,减少了数据库查询所涉及的时间。还显示了可以直接从色度空间计算LCDM,而无需首先评估色度直方图。

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