Sampling density for image analysis

I. Young
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引用次数: 3

Abstract

We show that the convergence of measures for object size to their "true values" can be analyzed by looking at the pixels (or voxels) on the border of the object. This leads to results for a proper choice for the sampling density of the asymptotic form CV=/spl sigma//spl mu/=k/spl middot/Q/sup -(N+1/2)/ where Q is the sampling density (pixels per object "diameter") and N is the number of spatial dimensions.
用于图像分析的采样密度
我们表明,可以通过查看对象边界上的像素(或体素)来分析对象大小度量的收敛性到其“真实值”。这导致了正确选择采样密度的结果,其渐近形式为CV=/spl sigma//spl mu/=k/spl middot/Q/sup -(N+1/2)/,其中Q是采样密度(每个对象“直径”的像素),N是空间维度的数量。
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