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Fitting an ellipse to an arbitrary shape: implications for strain analysis

机译:将椭圆拟合为任意形状:应变分析的含义

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An ellipse can be fit to an arbitrary shape using a linear least squares approach applied to boundary data. Alternatively, this problem can also be solved by calculating the second moments of the entire region, a technique popular in image analysis applications. If the irregular shape can be approximated by a polygon then Greens theorem allows efficient calculation of the second moments. If the shape is pixelated then the second moments can be calculated by a simple summation process. By considering the behaviour of these fitting methods with increasing deformation it is shown that as an arbitrary shape passively deforms, the best-fit ellipse also behaves as if it were deforming passively. This implies that all techniques of strain analysis that were previously restricted to populations of elliptical objects may now be applied to populations of arbitrary shapes, provided the best-fit ellipse is calculated by one of the methods described here. Furthermore it implies that selective sampling based on shape or methods of weighting based upon shape are invalid and tend to bias the raw data.
机译:使用线性最小二乘法可以将椭圆拟合为任意形状,并将其应用于边界数据。可替代地,该问题也可以通过计算整个区域的第二矩来解决,这是在图像分析应用中流行的技术。如果不规则形状可以用多边形近似,则格林定理可以有效地计算第二矩。如果形状被像素化,则可以通过简单的求和过程来计算第二矩。通过考虑这些拟合方法随变形增加的行为,可以看出,当任意形状被动变形时,最佳拟合椭圆的行为也就好像它在被动变形一样。这意味着,以前通过椭圆形物体进行的所有应变分析技术,现在都可以应用到任意形状的物体上,前提是通过此处描述的一种方法计算出最佳拟合椭圆。此外,这意味着基于形状的选择性采样或基于形状的加权方法是无效的,并且倾向于使原始数据产生偏差。

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