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公开(公告)号：US20060120591A1
公开(公告)日：2006-06-08
申请号：US11067542
申请日：2005-02-24
CPC分类号： G06T7/0012 , G06K9/4671 , G06T2207/30061 , Y10S128/922
摘要： In one aspect of the present invention, a method for calculating a response value at a first voxel indicative of a global shape in an image is provided. The method includes the steps of (a) determining at least one local shape descriptor associated with each of the at least one local shape descriptor; (b) determining a spread function associated with the each of the at least one local shape descriptor; (c) determining second voxels around the first voxel; (d) calculating values for each the at least one local shape descriptor at each of the second voxels; (e) determining a contribution of each of the second voxels at the first voxel based on the spread functions; and (f) using a combination function to combine the contributions to determine the response value indicative of the global shape.
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公开(公告)号：US07529395B2
公开(公告)日：2009-05-05
申请号：US11067542
申请日：2005-02-24
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/4671 , G06T2207/30061 , Y10S128/922
摘要： In one aspect of the present invention, a method for calculating a response value at a first voxel indicative of a global shape in an image is provided. The method includes the steps of (a) determining at least one local shape descriptor associated with each of the at least one local shape descriptor; (b) determining a spread function associated with the each of the at least one local shape descriptor; (c) determining second voxels around the first voxel; (d) calculating values for each the at least one local shape descriptor at each of the second voxels; (e) determining a contribution of each of the second voxels at the first voxel based on the spread functions; and (f) using a combination function to combine the contributions to determine the response value indicative of the global shape.
摘要翻译： 在本发明的一个方面，提供了一种用于计算在图像中指示全局形状的第一体素处的响应值的方法。 该方法包括以下步骤：（a）确定与所述至少一个局部形状描述符中的每一个相关联的至少一个局部形状描述符; （b）确定与所述至少一个局部形状描述符中的每一个相关联的扩展函数; （c）确定第一体素周围的第二体素; （d）计算每个所述第二体素中的每个所述至少一个局部形状描述符的值; （e）基于扩展函数确定第一体素中的每个第二体素的贡献; 和（f）使用组合函数来组合贡献以确定指示全局形状的响应值。
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公开(公告)号：US07650025B2
公开(公告)日：2010-01-19
申请号：US11493308
申请日：2006-07-26
IPC分类号： G06K9/00
CPC分类号： A61B6/5252 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/30004
摘要： A method for identifying non-body structures in digitized medical images including the steps of providing a digitized image comprising a plurality of intensities corresponding to a domain of points on an N-dimensional grid, wherein said image includes a representation of a body and of non-body structures separate from said body, initializing a surface in said image on a side of said non-body structures opposite from said body, defining a plurality of forces acting on said surface, and displacing said surface through said non-body structures using said forces until said body is encountered.
摘要翻译： 一种用于识别数字化医学图像中的非身体结构的方法，包括以下步骤：提供包括与N维网格上的点的区域相对应的多个强度的数字化图像，其中所述图像包括身体和非身体结构的表示， 与所述身体分开的身体结构，在与所述身体相对的所述非身体结构的一侧初始化所述图像中的表面，限定作用在所述表面上的多个力，并且使用所述身体结构使所述表面移位通过所述非身体结构 直到遇到身体。
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公开(公告)号：US20070036411A1
公开(公告)日：2007-02-15
申请号：US11493308
申请日：2006-07-26
IPC分类号： G06K9/00
CPC分类号： A61B6/5252 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/30004
摘要： A method for identifying non-body structures in digitized medical images including the steps of providing a digitized image comprising a plurality of intensities corresponding to a domain of points on an N-dimensional grid, wherein said image includes a representation of a body and of non-body structures separate from said body, initializing a surface in said image on a side of said non-body structures opposite from said body, defining a plurality of forces acting on said surface, and displacing said surface through said non-body structures using said forces until said body is encountered.
摘要翻译： 一种用于识别数字化医学图像中的非身体结构的方法，包括以下步骤：提供包括对应于N维网格上的点的域的多个强度的数字化图像，其中所述图像包括身体和非身体结构的表示， 与所述身体分开的身体结构，在与所述身体相对的所述非身体结构的一侧初始化所述图像中的表面，限定作用在所述表面上的多个力，并且使用所述身体结构使所述表面移位通过所述非身体结构 直到遇到身体。
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公开(公告)号：US08963673B2
公开(公告)日：2015-02-24
申请号：US13623270
申请日：2012-09-20
申请人： Matthias Wolf
发明人： Matthias Wolf
CPC分类号： H02J7/0042 , H01F17/04 , H01F27/2871 , H02J7/025 , H02J50/10
摘要： In a hand tool device having at least one charging coil provided for transmitting energy, the charging coil includes a coil core having at least two core segments which are movable relative to each other.
摘要翻译： 在具有设置用于传输能量的至少一个充电线圈的手动工具装置中，充电线圈包括具有至少两个可相对于彼此移动的芯部段的线圈芯。
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6.发明授权Method of controlling an internal combustion engine, in particular a diesel engine 有权控制内燃机，特别是柴油发动机的方法公开(公告)号：US08032293B2
公开(公告)日：2011-10-04
申请号：US12157335
申请日：2008-06-09
申请人： Simon Binder , Yüriy Bogachik , Alfred Frommelt , Kristina Hellstroem , Frank Kirschbaum , Michael Klier , Lorenzo Matassini , Michael Mladek , Heiko Moeckel-Lherbier , Gerhard Muenkel , Rudiger Pfaff , Karsten Scheible , Martin Schnabel , Jürgen Schorr , Bernd Windisch , Matthias Wolf
发明人： Simon Binder , Yüriy Bogachik , Alfred Frommelt , Kristina Hellstroem , Frank Kirschbaum , Michael Klier , Lorenzo Matassini , Michael Mladek , Heiko Moeckel-Lherbier , Gerhard Muenkel , Rudiger Pfaff , Karsten Scheible , Martin Schnabel , Jürgen Schorr , Bernd Windisch , Matthias Wolf
CPC分类号： F02D41/403 , F02D35/02 , F02D35/023 , F02D35/027 , F02D35/028 , F02D41/005 , F02D41/008 , F02D2200/025 , Y02T10/44
摘要： In a method for controlling an internal combustion engine, in particular a diesel internal combustion engine, at least one variable is formed on a cylinder-specific basis, which variable characterizes a respective profile of a combustion in an associated combustion chamber, and the control of cylinder-specific fuel injection parameters is influenced as a function of said at least one variable which characterizes the combustion profile.
摘要翻译： 在用于控制内燃机，特别是柴油内燃机的方法中，至少一个变量形成在气缸特定的基础上，该变量表征相关燃烧室中的燃烧的相应轮廓，并且控制 气缸特定燃料喷射参数作为表征燃烧曲线的所述至少一个变量的函数而受到影响。
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公开(公告)号：US20050058349A1
公开(公告)日：2005-03-17
申请号：US10916808
申请日：2004-08-12
申请人： Matthias Wolf
发明人： Matthias Wolf
CPC分类号： G06K9/56 , G06K2209/05 , G06T7/0012 , G06T7/194 , G06T7/70 , G06T2207/10081 , G06T2207/30064
摘要： An image processing system for recognizing image features in three dimensional images, which can be medical images, uses a mask generator for generating masks that are used by a candidate searcher to search for candidate images in the three dimensional image. The candidate searcher applies the mask to a section of a foreground region of the image to determine the presence of a structure/object by counting the number of intersections between the mask and the section of the foreground region.
摘要翻译： 用于识别可以是医学图像的三维图像中的图像特征的图像处理系统使用掩模生成器来生成由候选搜索器使用以在三维图像中搜索候选图像的掩模。 候选搜索器将掩模应用于图像的前景区域的一部分，以通过对掩模与前景区域的部分之间的交点数进行计数来确定结构/对象的存在。
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公开(公告)号：US08885898B2
公开(公告)日：2014-11-11
申请号：US13267095
申请日：2011-10-06
申请人： Meizhu Liu , Le Lu , Vikas C. Raykar , Marcos Salganicoff , Matthias Wolf
发明人： Meizhu Liu , Le Lu , Vikas C. Raykar , Marcos Salganicoff , Matthias Wolf
CPC分类号： G06K9/6215 , A61B6/032 , A61B6/037 , A61B8/13 , G06T7/0014 , G06T7/30 , G06T2207/10072 , G06T2207/20081 , G06T2207/30032
摘要： Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.
摘要翻译： 这里描述了用于图像中感兴趣区域的多视图匹配的框架。 根据一个方面，处理器接收第一和第二数字化图像，以及对应于第一图像中检测到的感兴趣区域的至少一个CAD查找。 处理器确定与第一图像中的CAD查找匹配的第二图像中的至少一个候选位置。 基于为CAD查找和候选位置提取的本地外观特征执行匹配。 根据另一方面，处理器接收代表一个或多个感兴趣区域的至少第一和第二视图的数字化的训练图像。 基于训练图像执行特征选择，以选择相关局部外观特征的子集来表示第一和第二视图中的实例。 然后基于局部外观特征的子集来学习距离度量。 距离度量可以用于执行感兴趣区域的匹配。
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公开(公告)号：US08160336B2
公开(公告)日：2012-04-17
申请号：US11516213
申请日：2006-09-06
申请人： Jianming Liang , Zhiyun Xue , Marcos Salganicoff , Matthias Wolf
发明人： Jianming Liang , Zhiyun Xue , Marcos Salganicoff , Matthias Wolf
IPC分类号： G06K9/00
CPC分类号： G06T7/0012
摘要： A computer-implemented method for identifying an object of interest includes providing input data including an image and a candidate for the object of interest in the image, extracting a boundary of the candidate, and extracting a segment of a region of interest containing the candidate. The method further includes determining a plurality of features of an extracted segment of the region of interest containing the candidate, and outputting the object of interest, wherein the object of interest is characterized by the plurality of features, wherein the object of interest and the plurality of features are stored as computer-readable code.
摘要翻译： 用于识别感兴趣对象的计算机实现的方法包括提供包括图像中的图像和感兴趣对象的候选者的输入数据，提取候选者的边界，以及提取包含候选的感兴趣区域的片段。 该方法还包括确定包含该候选者的所述感兴趣区域的提取段的多个特征，并输出所述感兴趣对象，其中所述感兴趣对象由所述多个特征表征，其中所述感兴趣对象和所述多个特征 功能存储为计算机可读代码。
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公开(公告)号：US20120088981A1
公开(公告)日：2012-04-12
申请号：US13267095
申请日：2011-10-06
申请人： Meizhu Liu , Le Lu , Vikas C. Raykar , Marcos Salganicoff , Matthias Wolf
发明人： Meizhu Liu , Le Lu , Vikas C. Raykar , Marcos Salganicoff , Matthias Wolf
CPC分类号： G06K9/6215 , A61B6/032 , A61B6/037 , A61B8/13 , G06T7/0014 , G06T7/30 , G06T2207/10072 , G06T2207/20081 , G06T2207/30032
摘要： Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.
摘要翻译： 这里描述了用于图像中感兴趣区域的多视图匹配的框架。 根据一个方面，处理器接收第一和第二数字化图像，以及对应于第一图像中检测到的感兴趣区域的至少一个CAD查找。 处理器确定与第一图像中的CAD查找匹配的第二图像中的至少一个候选位置。 基于为CAD查找和候选位置提取的本地外观特征执行匹配。 根据另一方面，处理器接收代表一个或多个感兴趣区域的至少第一和第二视图的数字化的训练图像。 基于训练图像执行特征选择，以选择相关局部外观特征的子集来表示第一和第二视图中的实例。 然后基于局部外观特征的子集来学习距离度量。 距离度量可以用于执行感兴趣区域的匹配。
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