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Reconstructions of Noisy Digital Contours with Maximal Primitives Based on Multi-scale/Irregular Geometric Representation and Generalized Linear Programming

机译：基于多尺度/不规则几何表示和广义线性规划的最大基元重建噪声数字轮廓的重建

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Antoine Vacavant; Bertrand Kerautret; Tristan Roussillon; Fabien Feschet;
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年度 2017
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专利

1. A combined multi-scale/irregular algorithm for the vectorization of noisy digital contours [J] . Antoine Vacavant, Tristan Roussillon, Bertrand Kerautret, Computer vision and image understanding . 2013,第4期

机译：组合式多尺度/不规则算法用于噪声数字轮廓的矢量化
2. Linearization method of global optimization for generalized geometric programming [J] . Shen P Applied mathematics and computation . 2005,第1期

机译：广义几何规划全局优化的线性化方法
3. Solving Posynomial Geometric Programming Problems via Generalized Linear Programming [J] . Jayant Rajgopal, Dennis L. Bricker Computational optimization and applications . 2002,第1期

机译：通过广义线性规划求解多项式几何规划问题
4. Reconstructions of Noisy Digital Contours with Maximal Primitives Based on Multi-scale/Irregular Geometric Representation and Generalized Linear Programming [C] . Antoine Vacavant, Bertrand Kerautret, Tristan Roussillon, IAPR international conference on discrete geometry for computer imagery . 2017

机译：基于多尺度/不规则几何表示和广义线性规划的具有最大原语的嘈杂数字轮廓重建
5. Contours to digital elevation models: Grid-based surface reconstruction methods. [D] . Gousie, Michael Bernhard. 1998

机译：数字高程模型的轮廓：基于网格的曲面重建方法。
6. Can conclusions drawn from phantom-based image noise assessments be generalized to in vivo studies for the nonlinear model-based iterative reconstruction method? [O] . Daniel Gomez-Cardona, Ke Li, Jiang Hsieh, -1

机译：从基于幻影的图像噪声评估得出的结论是否可以推广到基于非线性模型的迭代重建方法的体内研究？
7. Reconstructions of Noisy Digital Contours with Maximal Primitives Based on Multi-Scale/Irregular Geometric Representation and Generalized Linear Programming [O] . Vacavant, Antoine, Kerautret, Bertrand, Roussillon, Tristan, 2017

机译：基于多尺度/不规则几何表示和广义线性规划的具有最大原语的嘈杂数字轮廓重建
8. A Generalized Digital Contouring Program [R] . Jones, R. L. 1971

机译：广义数字轮廓程序

Reconstructions of Noisy Digital Contours with Maximal Primitives Based on Multi-scale/Irregular Geometric Representation and Generalized Linear Programming

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