image matrix based model 基于图像矩阵的数据表示模型
The overlapping sensitivity matrix, area ratio (AR), reconstruction image, two-absorber model, and contrast-to-noise ratio (CNR) in different depths are used to evaluate the performance of PG.
论文采用重叠灵敏度矩阵、面积比、重建图像、双吸收组织模型、不同深度下的信噪比等评价参数,对提出的多边形探头分布模型的性能进行评估。
In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form.
这个矩阵需要很大的存储量和计算量。本文利用矩阵的张量积将原有的矢量插值模型转化成矩阵插值模型。
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