Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm
Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm
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DOI：
10.1109/icip.2012.6466802
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发表时间：
2012-09
期刊：
影响因子：
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通讯作者：
A. Hirabayashi;P. Dragotti
中科院分区：
文献类型：
--
作者：
A. Hirabayashi;P. Dragotti
我们提出了一种线边缘提取算法，使用E样条数据采集模型和快速优化算法。所提出的方法可以检索线边缘参数，包括方向，偏移量和幅度在亚像素精度几乎独立于图像的分辨率。由于优化方法，所提出的方法是对模型失配，如噪声，点扩散函数（PSF）模型失配，或阶跃线边缘假设的鲁棒性。这些属性进行了验证，使用数码单反相机拍摄的图像模拟。
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.