Algorithm for Monte Carlo Restoration of Binary Images

机译：二值图像蒙特卡罗修复算法

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摘要

A new algorithm for the restoration of binary objects is presented. By optimal use of a priori information and the Monte Carlo technique, considerable image enhancement can be achieved. An example illustates the results. (Author)

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作者
Frieden, B. R.; Zoltani, C. K.;
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年度 1985
页码 p.1-22
总页数 22
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Image restoration; Algorithms; Image processing; Optimization; Images; Monte carlo method;

机译：图像恢复;算法;图像处理;优化;图像;蒙特卡罗方法;

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专利

1. Convergence in the Wasserstein Metric for Markov Chain Monte Carlo Algorithms with Applications to Image Restoration [J] . Alison L. Gibbs Stochastic models . 2004,第4期

机译：马尔可夫链蒙特卡罗算法在Wasserstein度量中的收敛性及其在图像复原中的应用
2. Benchmark Comparison of Monte Carlo Algorithms for Three-Dimensional Binary Stochastic Media [J] . Patrick S. Brantley, George B. Zimmerman Transactions of the American nuclear society . 2017,第期

机译：三维二进制随机介质的蒙特卡洛算法基准比较
3. Modified Closures in Monte Carlo Algorithms for Diffusive Binary Stochastic Media Transport Problems [J] . Patrick S. Brantley Transactions of the American nuclear society . 2016,第juna期

机译：蒙特卡罗算法中扩散二进制二元随机介质传输问题的修正闭包
4. Reconstruction of PET images with a compressed Monte Carlo based system matrix - a comparison to other Monte Carlo based algorithms [C] . Rehfeld, N., Fippel, . 2005

机译：使用压缩的基于Monte Carlo的系统矩阵重建PET图像-与其他基于Monte Carlo的算法的比较
5. Convergence of Markov chain Monte Carlo algorithms with applications to image restoration. [D] . Gibbs, Alison Lee. 2000

机译：马尔可夫链蒙特卡罗算法在图像复原中的收敛性。
6. Performance Evaluation of Algorithms in Lung IMRT: A comparison of Monte Carlo Pencil Beam Superposition Fast Superposition and Convolution Algorithms [O] . T. Verma, N.K. Painuly, S.P. Mishra, 2016

机译：肺IMRT中算法的性能评估：蒙特卡洛铅笔束叠加快速叠加和卷积算法的比较
7. Convergence in the Wasserstein Metric for Markov Chain Monte Carlo Algorithms with Applications to Image Restoration [O] . Alison L. Gibbs 2007

机译：马尔可夫链蒙特卡罗算法在Wasserstein度量中的收敛性及其在图像复原中的应用

Algorithm for Monte Carlo Restoration of Binary Images

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