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Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm

机译:基于电子样条采集模型的线路边缘提取和快速优化算法

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We propose a line-edge extraction algorithm that uses an E-spline data acquisition model and a fast optimization algorithm. The proposed method can retrieve line-edge parameters, including orientation, offset, and amplitude at sub-pixel accuracy almost independently of the resolution of the images. Because of the optimization approach, the proposed method is robust against model mismatch such as noise, point spread function (PSF) model mismatch, or step line-edge assumption. These properties are verified by simulations using images taken with a digital SLR camera.
机译:我们提出了一种利用E-SPLINE数据采集模型和快速优化算法的线边缘提取算法。 所提出的方法可以几乎独立于图像的分辨率检索沿子像素精度的方向参数,包括取向,偏移和幅度。 由于优化方法,所提出的方法对模型不匹配是稳健的,例如噪声,点扩展功能(PSF)模型不匹配或步进线边缘假设。 这些属性通过使用数字单反相机拍摄的图像进行模拟验证。

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