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1. 发明申请

US20100011268A1 SYSTEM AND METHOD FOR SIGNAL RECONSTRUCTION FROM INCOMPLETE DATA 有权
标题翻译：不完全数据信号重构的系统与方法
公开(公告)号：US20100011268A1
公开(公告)日：2010-01-14
申请号：US12487689
申请日：2009-06-19
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： G06F11/07
CPC分类号： G06K9/6247 , G06K9/6249 , G06T11/006 , G06T2210/41 , G06T2211/436
摘要： A method for reconstructing a signal from incomplete data in a signal processing device includes acquiring incomplete signal data. An initial reconstruction of the incomplete signal data is generated. A reconstruction is generated starting from the initial reconstruction by repeating the steps of: calculating a sparsity transform of the reconstruction, measuring an approximation of sparsity of the reconstruction by applying an m-estimator to the calculated sparsity transform, and iteratively optimizing the reconstruction to minimize output of the m-estimator thereby maximizing the approximation of sparsity for the reconstruction. The optimized reconstruction is provided as a representation of the incomplete data.
摘要翻译：用于在信号处理装置中重建来自不完整数据的信号的方法包括获取不完整的信号数据。产生不完整信号数据的初始重建。通过重复以下步骤产生从初始重构开始的重构：计算重建的稀疏变换，通过将m估计器应用于计算的稀疏变换来测量重建的稀疏度的近似，并且迭代地优化重建以最小化 m估计器的输出，从而最大化重建的稀疏度的近似。优化重建是作为不完整数据的表示提供的。

2. 发明授权

US08335955B2 System and method for signal reconstruction from incomplete data 有权
标题翻译：不完整数据信号重构的系统和方法
公开(公告)号：US08335955B2
公开(公告)日：2012-12-18
申请号：US12487689
申请日：2009-06-19
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： H03M13/00
CPC分类号： G06K9/6247 , G06K9/6249 , G06T11/006 , G06T2210/41 , G06T2211/436
摘要： A method for reconstructing a signal from incomplete data in a signal processing device includes acquiring incomplete signal data. An initial reconstruction of the incomplete signal data is generated. A reconstruction is generated starting from the initial reconstruction by repeating the steps of: calculating a sparsity transform of the reconstruction, measuring an approximation of sparsity of the reconstruction by applying an m-estimator to the calculated sparsity transform, and iteratively optimizing the reconstruction to minimize output of the m-estimator thereby maximizing the approximation of sparsity for the reconstruction. The optimized reconstruction is provided as a representation of the incomplete data.
摘要翻译：用于在信号处理装置中重建来自不完整数据的信号的方法包括获取不完整的信号数据。产生不完整信号数据的初始重建。通过重复以下步骤产生从初始重构开始的重构：计算重建的稀疏变换，通过将m估计器应用于计算的稀疏变换来测量重建的稀疏度的近似，并且迭代地优化重建以最小化 m估计器的输出，从而最大化重建的稀疏度的近似。优化重建是作为不完整数据的表示提供的。

3. 发明授权

US07889924B2 Globally optimal uninitialized graph-based rectilinear shape segmentation 有权
标题翻译：全局最优未初始化的基于图形的直线形状分割
公开(公告)号：US07889924B2
公开(公告)日：2011-02-15
申请号：US11784836
申请日：2007-04-10
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： G06K9/34 , G06K9/46 , G06K9/66
CPC分类号： G06K9/6215 , G06K9/34 , G06T7/12 , G06T7/162 , G06T2207/20072
摘要： An improved method of graph-based segmentation of objects in images uses the property of rectilinear shape classes which optimize the ratio of specific metrics, that can be expressed as Laplacian matrices applied to indicator vectors. A relaxation of the binary formulation of this problem allows a solution via generalized eigenvectors. This segmentation algorithm incorporating shape information requires no initialization, is non -iterative and finds a steady-state (i.e., global optimum) solution. The method is generally applicable to segmentation of rectilinear shapes.
摘要翻译：图像中对象的基于图形的分割的改进方法使用直线形状类的属性，其优化特定度量的比率，其可以表示为应用于指示符向量的拉普拉斯矩阵。放松这个问题的二元公式可以通过广义的特征向量求解。结合形状信息的分割算法不需要初始化，是非定理的，并且找到稳态（即全局最优）解。该方法通常适用于直线形状的分割。

4. 发明申请

US20070165949A1 Banded graph cut segmentation algorithms with laplacian pyramids 有权
标题翻译：带状图切割具有拉普拉斯棱锥的分割算法
公开(公告)号：US20070165949A1
公开(公告)日：2007-07-19
申请号：US11638224
申请日：2006-12-13
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： G06K9/34
CPC分类号： G06K9/342 , G06K9/6224 , G06T7/11 , G06T7/162 , G06T7/194 , G06T2207/20016 , G06T2207/20072 , G06T2207/20101
摘要： A process for segmenting an object of interest from background, comprising: obtaining a master, high-resolution image of an object disposed within a background; applying a first band graph cut process to the master image generating a second image with the object being segmented from the background to a first approximation; and, comparing the second image with the master image to produce a comparison image with pixels identified by the comparison to be background images being removed from the comparison image.
摘要翻译：一种用于从背景分割感兴趣对象的过程，包括：获得设置在背景中的对象的主分辨率高分辨率图像; 对所述主图像应用第一带图切割处理，生成具有所述对象从所述背景分割成第一近似的第二图像; 以及将所述第二图像与所述主图像进行比较，以产生与所述比较所识别的像素的比较图像，以便从所述比较图像中移除背景图像。

5. 发明授权

US08000527B2 Interactive image segmentation by precomputation 有权
标题翻译：通过预先计算的交互式图像分割
公开(公告)号：US08000527B2
公开(公告)日：2011-08-16
申请号：US11949832
申请日：2007-12-04
申请人： Leo Grady , Ali Kemal Sinop
发明人： Leo Grady , Ali Kemal Sinop
IPC分类号： G06K9/34
CPC分类号： G06K9/342 , G06K9/6224 , G06T7/11 , G06T2207/20101
摘要： A method for interactive image segmentation includes receiving an image to be segmented, performing an offline computation of eigenvectors of a Laplacian of the image without using seed points, receiving seed points, and performing an online segmentation taking the seed points and the eigenvectors of the Laplacian as input and outputting a partition of the image.
摘要翻译：一种用于交互式图像分割的方法包括接收待分割的图像，对图像的拉普拉斯算子的特征向量进行离线计算，而不使用种子点，接收种子点，并执行在线分割，获取拉普拉斯算子的种子点和特征向量作为输入并输出图像的分区。

6. 发明申请

US20080260247A1 INTERACTIVE IMAGE SEGMENTATION BY PRECOMPUTATION 有权
标题翻译：通过预处理交互式图像分割
公开(公告)号：US20080260247A1
公开(公告)日：2008-10-23
申请号：US11949832
申请日：2007-12-04
申请人： Leo Grady , Ali Kemal Sinop
发明人： Leo Grady , Ali Kemal Sinop
IPC分类号： G06K9/34
CPC分类号： G06K9/342 , G06K9/6224 , G06T7/11 , G06T2207/20101
摘要： A method for interactive image segmentation includes receiving an image to be segmented, performing an offline computation of eigenvectors of a Laplacian of the image without using seed points, receiving seed points, and performing an online segmentation taking the seed points and the eigenvectors of the Laplacian as input and outputting a partition of the image.
摘要翻译：一种用于交互式图像分割的方法包括接收待分割的图像，对图像的拉普拉斯算子的特征向量进行离线计算，而不使用种子点，接收种子点，并执行在线分割，获取拉普拉斯算子的种子点和特征向量作为输入并输出图像的分区。

7. 发明申请

US20080056577A1 Seed segmentation using L-infinity minimization 有权
标题翻译：使用L-infinity最小化的种子分割
公开(公告)号：US20080056577A1
公开(公告)日：2008-03-06
申请号：US11789747
申请日：2007-04-25
申请人： Leo Grady , Ali Kemal Sinop
发明人： Leo Grady , Ali Kemal Sinop
IPC分类号： G06K9/34
CPC分类号： G06K9/469 , G06K9/6224 , G06T7/11 , G06T7/143 , G06T7/162 , G06T2207/30101
摘要： A computer readable medium embodying instructions executable by a processor to perform a method for seeded image segmentation using l∞ minimization, the method including providing an image comprising a set of pixels, wherein a foreground seed label is given for at least one pixel of the image and a background seed label is given for at least another pixel of the image, determining an affinity function for every pair of neighbor pixels, solving the l∞ minimization, which assigns a probability to each pixel, labeling each pixel as foreground pixel or background pixel according to a threshold of the probability, and outputting the image including the segmentation labels.
摘要翻译：一种计算机可读介质，其包含可由处理器执行的指令，以执行使用最小化的种子图像分割的方法，所述方法包括提供包括一组像素的图像，其中给出前景种子标签为图像的至少另一像素给出图像的至少一个像素和背景种子标签，确定每对相邻像素的亲和度函数，求解最小化，其分配一个每个像素的概率，根据概率的阈值将每个像素标记为前景像素或背景像素，并且输出包括分割标签的图像。

8. 发明授权

US08055037B2 Robust reconstruction method for parallel magnetic resonance images 有权
标题翻译：平行磁共振图像的鲁棒重建方法
公开(公告)号：US08055037B2
公开(公告)日：2011-11-08
申请号：US11928121
申请日：2007-10-30
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： G06K9/00
CPC分类号： G01R33/5611
摘要： Methods and systems for reconstruction of an image from parallel Magnetic Resonance Image (pMRI) data are disclosed. A reconstructed pMRI image may suffer from noise and aliasing. A method for reducing aliasing by applying a bounded error function is disclosed. A method for reducing noise in a reconstruction by applying an error term is also disclosed. Error terms are included in an expression that can be solved as a minimization problem. Creating a solution in an iterative way is also disclosed. Examples of specific solutions are provided. A system applying the methods is also provided.
摘要翻译：公开了从平行重建图像的方法和系统。磁共振图像（pMRI）数据。重建的pMRI图像可能遭受噪声和混叠。公开了一种通过应用有限误差函数来减少混叠的方法。还公开了一种通过应用误差项来减少重构中的噪声的方法。错误项包含在可以作为最小化问题解决的表达式中。还公开了以迭代方式创建解决方案。提供具体解决方案的示例。还提供了应用该方法的系统。

9. 发明授权

US07822274B2 Banded graph cut segmentation algorithms with laplacian pyramids 有权
标题翻译：带状图切割具有拉普拉斯棱锥的分割算法
公开(公告)号：US07822274B2
公开(公告)日：2010-10-26
申请号：US11638224
申请日：2006-12-13
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/342 , G06K9/6224 , G06T7/11 , G06T7/162 , G06T7/194 , G06T2207/20016 , G06T2207/20072 , G06T2207/20101
摘要： A process for segmenting an object of interest from background, comprising: obtaining a master, high-resolution image of an object disposed within a background; applying a first band graph cut process to the master image generating a second image with the object being segmented from the background to a first approximation; and, comparing the second image with the master image to produce a comparison image with pixels identified by the comparison to be background images being removed from the comparison image.
摘要翻译：一种用于从背景分割感兴趣对象的过程，包括：获得设置在背景中的对象的主分辨率高分辨率图像; 对所述主图像应用第一带图切割处理，生成具有所述对象从所述背景分割成第一近似的第二图像; 以及将所述第二图像与所述主图像进行比较，以产生与所述比较所识别的像素的比较图像，以便从所述比较图像中移除背景图像。

10. 发明授权

US07773807B2 Seed segmentation using l∞ minimization 有权
标题翻译：使用l∞最小化的种子分割
公开(公告)号：US07773807B2
公开(公告)日：2010-08-10
申请号：US11789747
申请日：2007-04-25
申请人： Leo Grady , Ali Kemal Sinop
发明人： Leo Grady , Ali Kemal Sinop
IPC分类号： G06K9/00 , G06K9/34 , G06K9/36
CPC分类号： G06K9/469 , G06K9/6224 , G06T7/11 , G06T7/143 , G06T7/162 , G06T2207/30101
摘要： A computer readable medium embodying instructions executable by a processor to perform a method for seeded image segmentation using l∞ minimization, the method including providing an image comprising a set of pixels, wherein a foreground seed label is given for at least one pixel of the image and a background seed label is given for at least another pixel of the image, determining an affinity function for every pair of neighbor pixels, solving the l∞ minimization, which assigns a probability to each pixel, labeling each pixel as foreground pixel or background pixel according to a threshold of the probability, and outputting the image including the segmentation labels.
摘要翻译：一种计算机可读介质，其包含可由处理器执行的指令，以执行使用l∞最小化的种子图像分割的方法，所述方法包括提供包括一组像素的图像，其中为所述图像的至少一个像素给出前景种子标签并且为图像的至少另一个像素给出背景种子标签，确定每对相邻像素的亲和度函数，求解l∞最小化，其为每个像素分配概率，将每个像素标记为前景像素或背景像素根据概率的阈值，并输出包括分割标签的图像。

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