文件名称:conjugategrads
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [PDF]
- 上传时间:
- 2012-11-26
- 文件大小:
- 356kb
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- 0次
- 提 供 者:
- 孙*
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图像重建常常被转化为解非线性无约束极值问题, 通过范数极小化推导出共扼梯度法的
一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem, through the norm minimization derived conjugate gradient method the general algorithm. Through the simulation data and actual data workpiece tomography image reconstruction, it is estimated that the effectiveness of the algorithm, the results showed that compared to steepest descent method, this algorithm is more applicable to incomplete projection data image reconstruction, in ensuring that the reconstructed image fit at the same time, greatly improving the speed of reconstruction.
一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem, through the norm minimization derived conjugate gradient method the general algorithm. Through the simulation data and actual data workpiece tomography image reconstruction, it is estimated that the effectiveness of the algorithm, the results showed that compared to steepest descent method, this algorithm is more applicable to incomplete projection data image reconstruction, in ensuring that the reconstructed image fit at the same time, greatly improving the speed of reconstruction.
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conjugategrads.pdf