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    • 4. 发明授权
    • Method and device for visualizing surface-like structures in volumetric data sets
    • 用于在体积数据集中可视化表面状结构的方法和装置
    • US08736609B2
    • 2014-05-27
    • US12917608
    • 2010-11-02
    • Stefan Brabec
    • Stefan Brabec
    • G06T15/50G06T15/80G06T17/00G06T15/83
    • G06T15/08G06T15/50
    • The present invention relates to a method and a device for visualizing surface-like structures in volumetric data sets, including defining local coordinate systems at sample points of the volumetric data set, transforming external parameters from a global coordinate system into the local coordinate systems, calculating the gradient vector components (Gai, Gbi, Gci) within the local coordinate systems of the sample points, and using the gradient vector components (Gai, Gbi, Gci) for calculating a surface normal at a given position of the volumetric data set, where the surface normal is important for conventional illumination models such as the Blinn-Phong shading model, preferably, the present invention is also calculating the external parameters from the global coordinate system at the given position by using the transformed external parameters of the local coordinate systems of the sample points, where the shading or illumination at the given position is then done by using a conventional illumination model, thereby using the calculated surface normal at the given position and the calculated external parameters at the given position.
    • 本发明涉及一种用于在体数据集中可视化表面状结构的方法和装置,包括在体积数据集的采样点定义局部坐标系,将外部参数从全局坐标系转换成局部坐标系,计算 在采样点的局部坐标系中的梯度矢量分量(Gai,Gbi,Gci),并使用梯度矢量分量(Gai,Gbi,Gci)计算体积数据集的给定位置的表面法线,其中 表面法线对于诸如Blinn-Phong阴影模型的常规照明模型是重要的,优选地,本发明还通过使用局部坐标系的变换的外部参数来计算来自于给定位置处的全局坐标系的外部参数 样本点,其中通过使用修道院完成给定位置处的阴影或照明 从而使用给定位置处的计算表面法线和给定位置处的计算外部参数。
    • 9. 发明授权
    • Method of filtering an image dataset
    • 过滤图像数据集的方法
    • US08634615B2
    • 2014-01-21
    • US13122931
    • 2008-10-08
    • Stefan Brabec
    • Stefan Brabec
    • G06K9/00
    • G06T5/002G06T5/20G06T2207/10132G06T2207/30004
    • A method of filtering an image dataset and an apparatus, a data carrier, and a computer program product, the method having the following steps: providing an N-dimensional input image dataset; applying a filtering algorithm to the input image dataset, wherein the filtering algorithm is essentially unvarying over the dataset, to thereby obtain a filtered image dataset; providing a spatially varying weighting function between the input and the filtered image datasets; computing a weighted sum of the input image dataset and the filtered image dataset, thereby using the spatially varying weighting function, in order to obtain an output image dataset.
    • 一种过滤图像数据集和装置,数据载体和计算机程序产品的方法,该方法具有以下步骤:提供N维输入图像数据集; 对输入图像数据集应用滤波算法,其中所述滤波算法基本上在所述数据集上不变,从而获得滤波图像数据集; 在输入和滤波图像数据集之间提供空间变化的加权函数; 计算输入图像数据集和滤波图像数据集的加权和,从而使用空间变化的加权函数,以获得输出图像数据集。
    • 10. 发明申请
    • METHOD OF FILTERING AN IMAGE DATASET
    • 过滤图像数据的方法
    • US20110262023A1
    • 2011-10-27
    • US13122931
    • 2008-10-08
    • Stefan Brabec
    • Stefan Brabec
    • G06K9/00
    • G06T5/002G06T5/20G06T2207/10132G06T2207/30004
    • A method of filtering an image dataset and an apparatus, a data carrier, and a computer program product, the method having the following steps: providing an N-dimensional input image dataset; applying a filtering algorithm to the input image dataset, wherein the filtering algorithm is essentially unvarying over the dataset, to thereby obtain a filtered image dataset; providing a spatially varying weighting function between the input and the filtered image datasets; computing a weighted sum of the input image dataset and the filtered image dataset, thereby using the spatially varying weighting function, in order to obtain an output image dataset.
    • 一种过滤图像数据集和装置,数据载体和计算机程序产品的方法,该方法具有以下步骤:提供N维输入图像数据集; 对输入图像数据集应用滤波算法,其中所述滤波算法基本上在所述数据集上不变,从而获得滤波图像数据集; 在输入和滤波图像数据集之间提供空间变化的加权函数; 计算输入图像数据集和滤波图像数据集的加权和,从而使用空间变化的加权函数,以获得输出图像数据集。