We present a novel technique for estimating disk parameters (the center and the radius) from its 2D image. It is based on the maximal likelihood approach utilizing both edge pixels coordinates and the image intensity gradients. We emphasize the following advantages of our likelihood model. It has closed-form formulae for estimating the parameters, therefore, requiring less computational resources than iterative algorithms. The likelihood model naturally distinguishes outer and inner annulus edges. The proposed technique was evaluated on both synthetic and real data.

中文翻译：

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磁盘映像参数的最大似然估计

我们提出了一种从 2D 图像估计磁盘参数（中心和半径）的新技术。它基于利用边缘像素坐标和图像强度梯度的最大似然方法。我们强调我们的似然模型的以下优点。它具有用于估计参数的封闭式公式，因此比迭代算法需要更少的计算资源。似然模型自然区分外环和内环边缘。所提出的技术在合成数据和真实数据上进行了评估。