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Application of Baddeley's distance to dissimilarity measurement between gray scale images

机译:Baddeley距离在灰度图像间相异性测量中的应用

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In this paper, we introduce a dissimilarity measure between two gray-scale images based on Baddeley's distance. To some extent, it can be regarded as a modification of that proposed by Wilson et al. [Internat. J. Comput. Vision 24 (1) (1997) 5 18]. Images arc represented by surfaces in a 3D space, instead of their subgraphs. Distance calculations are performed by means of a 3D local distance operator adapted to parallelepipedic grids. No truncation effect is intro- duced. Properties of the new dissimilarity operator arc compared to those of the Wilson Baddeley Owen operator in terms of sensitivity to gray level variations, spatial shifts and shape distortions. Compared with the Wilson Baddeley- Owen operator, a more linear behavior is observed. A simplified phenomenological model is proposed in order to explain this behavior.
机译:在本文中,我们介绍了基于Baddeley距离的两个灰度图像之间的差异度量。在某种程度上,它可以看作是Wilson等人提出的修改。 [国际J.计算机Vision 24(1)(1997)5 18]。图像由3D空间中的曲面而不是其子图表示。距离计算是通过适用于平行六面体网格的3D局部距离算子执行的。没有引入截断效果。在对灰度变化,空间偏移和形状失真的敏感性方面,新的相异性算子的属性与Wilson Wilson Baddeley Owen算子的属性相比。与Wilson Baddeley-Owen运算符相比,观察到了更线性的行为。为了解释这种现象,提出了一种简化的现象学模型。

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