Analysing and simplifying histograms using scale-trees

Stuart E. Gibson, Richard Harvey
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引用次数: 4

Abstract

A new method for analysing image histograms is introduced. The technique decomposes a histogram into probability level sets. The relationships between these level sets are encoded using a tree. The tree has fewer nodes than the histogram and so is a compressed feature. When used in image retrieval experiments the tree is shown to have a performance that is superior to many methods and no worse than the best alternatives. The tree is efficient because it can be built using a computationally efficient algorithm known as a sieve.
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使用尺度树分析和简化直方图
介绍了一种新的图像直方图分析方法。该技术将直方图分解为概率水平集。这些关卡集之间的关系使用树来编码。树的节点比直方图少,因此是压缩特征。当用于图像检索实验时,树的性能优于许多方法,并且不低于最佳替代方法。这棵树是高效的,因为它可以使用一种称为筛的计算效率高的算法来构建。
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