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公开(公告)号：US08396268B2
公开(公告)日：2013-03-12
申请号：US12751766
申请日：2010-03-31
申请人： Adeala T. Zabair , J. Alison Noble
发明人： Adeala T. Zabair , J. Alison Noble
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/246 , G06T7/33 , G06T2207/20164 , G06T2207/30048
摘要： A method for processing a sequence of images. In an embodiment, one or more training datasets are analyzed having a sequence of images showing a first condition and a sequence of images showing a second condition. A multivariate regression model is used to determine a relationship between relative positions of one or more features in the sequence of images showing the first condition and relative positions of the one or more features in the sequence of images showing the second condition. In an embodiment, the determined relationship is used to predict positions of the one or more features in an inquire sequence of images showing the second condition given an inquire sequence of images showing the first condition. The predicted positions can then be refined using various methods. In an embodiment, sequences of images are aligned to a common time scale.
摘要翻译： 一种用于处理图像序列的方法。 在一个实施例中，分析一个或多个训练数据集，其具有示出第一条件的图像序列和示出第二条件的图像序列。 多变量回归模型用于确定显示第一条件的图像序列中的一个或多个特征的相对位置与显示第二条件的图像序列中的一个或多个特征的相对位置之间的关系。 在一个实施例中，所确定的关系用于预测图像的查询序列中的一个或多个特征的位置，其示出了给出了示出第一条件的图像的查询序列的第二条件。 然后可以使用各种方法来改进预测的位置。 在一个实施例中，图像序列与公共时间尺度对准。
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公开(公告)号：US20110243401A1
公开(公告)日：2011-10-06
申请号：US12751766
申请日：2010-03-31
申请人： Adeala T. Zabair , J. Alison Noble
发明人： Adeala T. Zabair , J. Alison Noble
CPC分类号： G06T7/0012 , G06T7/246 , G06T7/33 , G06T2207/20164 , G06T2207/30048
摘要： A method for processing a sequence of images. In an embodiment, one or more training datasets are analyzed having a sequence of images showing a first condition and a sequence of images showing a second condition. A multivariate regression model is used to determine a relationship between relative positions of one or more features in the sequence of images showing the first condition and relative positions of the one or more features in the sequence of images showing the second condition. In an embodiment, the determined relationship is used to predict positions of the one or more features in an inquire sequence of images showing the second condition given an inquire sequence of images showing the first condition. The predicted positions can then be refined using various methods. In an embodiment, sequences of images are aligned to a common time scale.
摘要翻译： 一种用于处理图像序列的方法。 在一个实施例中，分析一个或多个训练数据集，其具有示出第一条件的图像序列和示出第二条件的图像序列。 多变量回归模型用于确定显示第一条件的图像序列中的一个或多个特征的相对位置与显示第二条件的图像序列中的一个或多个特征的相对位置之间的关系。 在一个实施例中，所确定的关系用于预测图像的查询序列中的一个或多个特征的位置，其示出了给出了示出第一条件的图像的查询序列的第二条件。 然后可以使用各种方法来改进预测的位置。 在一个实施例中，图像序列与公共时间尺度对准。
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公开(公告)号：US20090208080A1
公开(公告)日：2009-08-20
申请号：US11988657
申请日：2006-07-14
申请人： Vicente Grau , Julia Alison Noble
发明人： Vicente Grau , Julia Alison Noble
CPC分类号： G06T5/50
摘要： A plurality of images of a common object acquired by ultrasound echo imaging, such as echocardiography, are combined. In respect of each image, a monogenic signal is derived and used to derive, in respect of each pixel, feature measures being measures of phase congruency feature, and alignment measures being measures of the degree of alignment between the normal to said phase congruency feature and the analysis beam. In respect of each pixel, there are derived relative weights for the plurality of images in correspondence with the feature measures for the plurality of images in respect of the corresponding pixel, taking into account the alignment measures for the plurality of images. A combined image is produced by combining the corresponding pixels of each image in accordance with the determined relative weights. By use of the image content, in particular the feature measures and the alignment measures, the images having a better definition of features in any given area predominate in the combined image so that the overall information content is improved.
摘要翻译： 通过超声波回波成像（例如超声心动图）获取的通常物体的多个图像被组合。 对于每个图像，导出单基因信号，并且用于导出关于每个像素的特征量度是相位一致特征的度量，并且对准测量是对所述相位一致特征的法线与 分析光束。 对于每个像素，考虑到多个图像的对准测量，导出与相应于像素的多个图像的特征量度对应的多个图像的相对权重。 通过根据确定的相对权重组合每个图像的相应像素来产生组合图像。 通过使用图像内容，特别是特征测量和对准测量，在组合图像中具有对特定区域中的特征的更好的定义的图像占主导地位，使得整体信息内容得到改善。
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公开(公告)号：US07043063B1
公开(公告)日：2006-05-09
申请号：US10069291
申请日：2000-07-19
申请人： Julia Alison Noble , Gary Jacob
发明人： Julia Alison Noble , Gary Jacob
IPC分类号： G06K9/00
CPC分类号： G06T7/0016 , A61B6/508 , G06T7/246 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A method of analysing a sequence of images of a deformable object in non-rigid motion involves modeling the boundary using a non-rigid contour. A representation of movement of the contour through the sequence of images is calculated using a tracking space shape. The calculated movement representation is decomposed using an interpretational space shape that is different than the tracking space shape.
摘要翻译： 在非刚性运动中分析可变形物体的图像序列的方法涉及使用非刚性轮廓对边界进行建模。 使用跟踪空间形状计算通过图像序列的轮廓的移动的表示。 使用与跟踪空间形状不同的解释空间形状来分解计算的运动表示。
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公开(公告)号：US07519206B2
公开(公告)日：2009-04-14
申请号：US10432376
申请日：2001-11-19
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/168 , G06T2207/10132 , G06T2207/30048
摘要： An image processing technique which identifies pixels in images which are associated with features having a selected shape, such as but not exclusively step edge, roof, ridge or valley. The shape of the intensity profile in the image is compared in an intensity independent way with a shape model to select those pixels which satisfy the shape model and are thus associated with the feature of interest. This comparison is achieved by examining the phase and amplitude of a spectral decomposition of parts of the image profile in the spatial or spatio temporal frequency domain. This decomposition can be achieved using quadrature wavelet pairs such as log-Gabor wavelets. The difference between the odd and even components, known as the feature asymmetry, gives an indication of the shape of the feature. The analysis may be extended to the time domain by looking at the shape of the image profile across a time sequence of images, which gives an indication of the velocity of a moving feature. Pixels identified as belonging to a feature of the right shape are labelled with the value of feature asymmetry, the local amplitude, feature orientation and feature velocity, and this information can be used to improve the tracking of detected features through a sequence of images.
摘要翻译： 一种图像处理技术，其识别与具有选定形状的特征相关联的图像中的像素，例如但不限于边缘，屋顶，脊或谷。 将图像中的强度分布的形状以强度独立的方式与形状模型进行比较，以选择满足形状模型并因此与感兴趣的特征相关联的那些像素。 该比较通过检查空间或时空频域中的图像轮廓的部分的频谱分解的相位和幅度来实现。 可以使用诸如log-Gabor小波之类的正交小波对来实现该分解。 被称为特征不对称的奇数和偶数分量之间的差异给出了特征形状的指示。 通过在图像的时间序列上查看图像轮廓的形状，可以将分析扩展到时域，其给出了移动特征的速度的指示。 被识别为属于正确形状的特征的像素被标记为特征不对称的值，局部幅度，特征取向和特征速度，并且该信息可以用于通过一系列图像来改善对检测到的特征的跟踪。
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公开(公告)号：US20060046183A1
公开(公告)日：2006-03-02
申请号：US10927984
申请日：2004-08-26
申请人： Wang Yueh , Shane Nolen , Balijeet Bains , Alison Noble , Rex Frost
发明人： Wang Yueh , Shane Nolen , Balijeet Bains , Alison Noble , Rex Frost
IPC分类号： G03C1/76
CPC分类号： G03F7/322 , G03F7/0046 , G03F7/0048 , G03F7/0392
摘要： A composition including a photoresist formulation and a surfactant additive is described herein.
摘要翻译： 本文描述了包含光致抗蚀剂制剂和表面活性剂添加剂的组合物。
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公开(公告)号：US20100179413A1
公开(公告)日：2010-07-15
申请号：US12452290
申请日：2008-06-25
CPC分类号： A61B8/08 , A61B8/463 , A61B8/485 , A61B8/5238 , G01S7/52042 , G01S7/52071
摘要： The invention provides for the visualisation of conventional and parametric images of materials as they are progressively distorted during examination. A conventional image is displayed simultaneously alongside one or more parametric images derived from the original image data, with the parametric images displaying mechanical properties such as elasticity and mobility. The mobility values are calculated from the tracking error obtained from a motion or strain estimation algorithm applied to a sequence of image frames. The values of elasticity and mobility are displayed in a colour overlay on the conventional image background and the transparency of the overlay is varied according to the parameter values to de-emphasise less relevant values.
摘要翻译： 本发明提供了材料的常规和参数图像的可视化，因为它们在检查期间逐渐变形。 常规图像同时显示在从原始图像数据导出的一个或多个参数图像旁边，参数图像显示诸如弹性和移动性的机械特性。 从应用于图像帧序列的运动或应变估计算法获得的跟踪误差计算移动值。 弹性和移动性的值以常规图像背景的颜色重叠显示，并且覆盖层的透明度根据参数值而变化以不加强相关值。
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