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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Blur invariants: A novel representation in the wavelet domain
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Blur invariants: A novel representation in the wavelet domain

机译:模糊不变式:小波域中的新颖表示

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摘要

Blur invariants in the wavelet domain are proposed for the first time in this paper. Wavelet domain blur invariants take advantage of several benefits that this domain provides, i.e. different alternatives for wavelet function and analysis in different scales. It is not required to model the blur system in order to extract the invariants. It will be shown how the space domain blur invariants are a special case of the proposed invariants. It will also be explained how the proposed invariants would not have the null space that their special case in the spatial domain have which limits their discriminative power. The performance of these invariants will be demonstrated through experiments, and compared to its counterpart which is defined in the spatial domain.
机译:本文首次提出了小波域的模糊不变性。小波域模糊不变量利用了该域提供的几个好处,即小波函数和不同规模分析的不同选择。不需要对模糊系统建模以提取不变量。将显示空域模糊不变量是所提出的不变量的特例。也将解释所提出的不变量如何不具有其在空间域中的特殊情况所具有的零空间,该零空间限制了它们的判别力。这些不变量的性能将通过实验证明,并与在空间域中定义的对应物进行比较。

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