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公开(公告)号：US20120321157A1
公开(公告)日：2012-12-20
申请号：US13160111
申请日：2011-06-14
CPC分类号： G06T11/008
摘要： Noise assessment is important to image quality evaluation as well as image processing. For example, the noise level estimation is used as criteria for terminating an iterative noise reduction process. To determine a meaningful noise level, the pixels in featureless regions are separated from the rest of the image. A new concept of pseudo-standard deviation (PSD) is introduced to automatically determine simple and reliable noise level estimates. Furthermore, a histogram of PSD is constructed with fine bins to calculate the moving average of the histogram. The first peak in filtered histogram gives the most representative noise measure as a desired approximation of true standard deviation.
摘要翻译： 噪声评估对图像质量评估和图像处理很重要。 例如，噪声水平估计被用作终止迭代降噪过程的标准。 为了确定有意义的噪声电平，无特征区域中的像素与图像的其余部分分离。 引入了伪标准偏差（PSD）的新概念，以自动确定简单可靠的噪声电平估计。 此外，PSD的直方图由精细仓组成，以计算直方图的移动平均值。 滤波直方图中的第一个峰值给出最具代表性的噪声测量值作为真正标准偏差的期望近似值。
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公开(公告)号：US20100328313A1
公开(公告)日：2010-12-30
申请号：US12492754
申请日：2009-06-26
CPC分类号： G06K9/6226 , G06K9/342 , G06T11/005 , G06T2211/408
摘要： Three or more materials are advantageously separated from dual energy data by using a material separation technique. To effectively separate material clusters, a density plot is introduced to automatically render cluster separations. Initially, the projection data optionally undergo data-domain dual energy decomposition. Then, the image data is plotted in a vector plot whose axes are the low HU values and the high HU values. For a given data point in the vector plot, a number of data points is counted within in a region of interest surrounding the given data point to generate a density plot where each point now represents a density level surrounding the data point. Thus, clustering of a certain material is visualized by a predetermined color assignment scheme. Furthermore, special image processing methods such as Gaussian decomposition are used to improve the accuracy of material separation. In addition, the HSL color model may be used for better visualization and to bring a new dimension in material separation display.
摘要翻译： 通过使用材料分离技术，三种或更多种材料有利地与双能量数据分离。 为了有效地分离材料簇，引入了一个密度图来自动渲染聚类分离。 最初，投影数据可选地进行数据域双能量分解。 然后，将图像数据绘制在轴为低HU值和高HU值的矢量图中。 对于矢量图中的给定数据点，在给定数据点周围的感兴趣区域内计数多个数据点，以生成密度图，其中每个点现在表示围绕数据点的密度水平。 因此，通过预定的颜色分配方案可视化某种材料的聚类。 此外，使用诸如高斯分解的特殊图像处理方法来提高材料分离的精度。 此外，HSL颜色模型可用于更好的可视化，并在材料分离显示中带来新的维度。
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公开(公告)号：US08294717B2
公开(公告)日：2012-10-23
申请号：US12492754
申请日：2009-06-26
IPC分类号： G06T11/20
CPC分类号： G06K9/6226 , G06K9/342 , G06T11/005 , G06T2211/408
摘要： Three or more materials are advantageously separated from dual energy data by using a material separation technique. To effectively separate material clusters, a density plot is introduced to automatically render cluster separations. Initially, the projection data optionally undergo data-domain dual energy decomposition. Then, the image data is plotted in a vector plot whose axes are the low HU values and the high HU values. For a given data point in the vector plot, a number of data points is counted within in a region of interest surrounding the given data point to generate a density plot where each point now represents a density level surrounding the data point. Thus, clustering of a certain material is visualized by a predetermined color assignment scheme. Furthermore, special image processing methods such as Gaussian decomposition are used to improve the accuracy of material separation. In addition, the HSL color model may be used for better visualization and to bring a new dimension in material separation display.
摘要翻译： 通过使用材料分离技术，三种或更多种材料有利地与双能量数据分离。 为了有效地分离材料簇，引入了一个密度图来自动渲染聚类分离。 最初，投影数据可选地进行数据域双能量分解。 然后，将图像数据绘制在轴为低HU值和高HU值的矢量图中。 对于矢量图中的给定数据点，在给定数据点周围的感兴趣区域内计数多个数据点，以生成密度图，其中每个点现在表示围绕数据点的密度水平。 因此，通过预定的颜色分配方案可视化某种材料的聚类。 此外，使用诸如高斯分解的特殊图像处理方法来提高材料分离的精度。 此外，HSL颜色模型可用于更好的可视化，并在材料分离显示中带来新的维度。
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公开(公告)号：US08761540B2
公开(公告)日：2014-06-24
申请号：US13160111
申请日：2011-06-14
IPC分类号： G06K9/40
CPC分类号： G06T11/008
摘要： Noise assessment is important to image quality evaluation as well as image processing. For example, the noise level estimation is used as criteria for terminating an iterative noise reduction process. To determine a meaningful noise level, the pixels in featureless regions are separated from the rest of the image. A new concept of pseudo-standard deviation (PSD) is introduced to automatically determine simple and reliable noise level estimates. Furthermore, a histogram of PSD is constructed with fine bins to calculate the moving average of the histogram. The first peak in filtered histogram gives the most representative noise measure as a desired approximation of true standard deviation.
摘要翻译： 噪声评估对图像质量评估和图像处理很重要。 例如，噪声水平估计被用作终止迭代降噪过程的标准。 为了确定有意义的噪声电平，无特征区域中的像素与图像的其余部分分离。 引入了伪标准偏差（PSD）的新概念，以自动确定简单可靠的噪声电平估计。 此外，PSD的直方图由精细仓组成，以计算直方图的移动平均值。 滤波直方图中的第一个峰值给出最具代表性的噪声测量值作为真正标准偏差的期望近似值。
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