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Modelling of imaged ellipse intensity profiles using Euclidean geometry

机译:使用欧几里得几何学对成像的椭圆强度轮廓进行建模

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To model the evolution in intensity of an ellipse image along randomly oriented profiles, this paper starts with the derivation of an analytical solution involving infinite summations of products of Hermite polynomials, which is consequently argued to be impractical. Generation of profiles adopting Fourier analyses hampers the extraction of arbitrarily located intensity distributions as a direct result of equidistant spatial sampling, and an alternative procedure is therefore presented to calculate the sought for intensity at isolated spatial locations. The algorithm introduced is based on the overlap area between the ellipse and concentric circles, which can be performed using basic trigonometric properties. The simplicity of the proposed method allows, contrary to Fourier based analyses, the modelling of intensity profiles with high resolution while demanding minimal computational memory. The proficiency of the method is demonstrated numerically, and its generality and applicability to real images in terms of motion induced image blurring and digitisation are discussed.
机译:为了模拟椭圆图像沿随机取向的轮廓的强度演化,本文从推导涉及Hermite多项式乘积的无穷求和的解析解开始,因此被认为是不切实际的。采用傅立叶分析的剖面图的生成阻碍了等距空间采样的直接结果是提取任意定位的强度分布,因此提出了一种替代方法来计算在孤立的空间位置处所需的强度。引入的算法基于椭圆和同心圆之间的重叠区域,可以使用基本的三角属性来执行。与基于傅立叶的分析相反,所提出的方法的简单性允许以高分辨率对强度分布进行建模,同时需要最少的计算内存。通过数值验证了该方法的有效性,并讨论了该方法在运动引起的图像模糊和数字化方面的普遍性和适用性。

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