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43 条记录 (耗时 0.022 秒)

    Method and System for Image Segmentation by Evolving Radial Basis functions
    31.
    发明申请
    Method and System for Image Segmentation by Evolving Radial Basis functions 有权
    通过演进径向基函数进行图像分割的方法和系统

    公开(公告)号：US20080112617A1

    公开(公告)日：2008-05-15

    申请号：US11926857

    申请日：2007-10-29

    申请人： Gregory G. Slabaugh ,  Gozde Unal

    发明人： Gregory G. Slabaugh ,  Gozde Unal

    IPC分类号： G06K9/34

    CPC分类号： G06K9/6207 ,  G06T7/12 ,  G06T7/149

    摘要： A method and system for image segmentation by evolving radial basis functions (RBFs) is disclosed. A set of RBFs define a contour on an image. The contour is the zero level set of an implicit function defined by the RBFs. The RBFs are weighted and parameterized by multiple parameters, such as center point, standard deviation, and orientation. The contour is iteratively deformed by updating the weight and each of the parameters of each of the RBFs based on each pixel of the contour, until the contour converges. The parameters and the weight of each RBF is updated using coupled set of differential equations derived based from a region-based or boundary-based image segmentation energy formulation. The final contour at a convergence defines boundaries of a target object or region in the image.

    摘要翻译： 公开了一种通过演化径向基函数（RBF）进行图像分割的方法和系统。 一组RBF定义图像上的轮廓。 轮廓是由RBF定义的隐含函数的零级集合。 RBF通过多个参数进行加权和参数化，如中心点，标准偏差和方向。 通过基于轮廓的每个像素更新每个RBF的权重和每个参数，轮廓收敛，迭代地变形。 使用从基于区域或基于边界的图像分割能量公式导出的耦合的微分方程组来更新每个RBF的参数和权重。 收敛的最终轮廓定义图像中目标对象或区域的边界。

    Active polyhedron for 3D image segmentation
    32.
    发明授权
    Active polyhedron for 3D image segmentation 失效
    用于3D图像分割的活动多面体

    公开(公告)号：US07333105B2

    公开(公告)日：2008-02-19

    申请号：US11067151

    申请日：2005-02-24

    申请人： Gregory G. Slabaugh ,  Gozde Unal ,  Jason Jenn-Kwei Tyan

    发明人： Gregory G. Slabaugh ,  Gozde Unal ,  Jason Jenn-Kwei Tyan

    IPC分类号： G06T17/00 ,  G06K9/34

    CPC分类号： G06K9/6207 ,  G06K9/00214

    摘要： A method for three dimensional image segmentation of a volume of interest includes providing a three dimensional image of the volume of interest, providing an initial polyhedron having a plurality of mesh vertices within the three dimension image and determining an image-based speed at each vertex of the polyhedron using an ordinary differential equation (ODE) that describes the vertex motion of the polyhedron. The method further includes determining a regularization term at each vertex of the polyhedron, updating the plurality of mesh vertices of the polyhedron, integrating the image-based speed of each vertex over a face of the polyhedron, and determining an output polyhedron approximating a shape of the volume of interest.

    摘要翻译： 用于感兴趣体积的三维图像分割的方法包括提供感兴趣体积的三维图像，提供在三维图像内具有多个网格顶点的初始多面体，并且确定每个顶点处的基于图像的速度 多面体使用描述多面体顶点运动的常微分方程（ODE）。 该方法还包括确定多面体的每个顶点处的正则化项，更新多面体的多个网格顶点，将多个顶点的每个顶点的基于图像的速度整合在多面体的面上，以及确定接近多面体的形状的输出多面体 感兴趣的数量。

    System and method for feature detection in ultrasound images
    33.
    发明授权
    System and method for feature detection in ultrasound images 有权
    超声图像中特征检测的系统和方法

    公开(公告)号：US08157736B2

    公开(公告)日：2012-04-17

    申请号：US11733281

    申请日：2007-04-10

    申请人： Gregory G. Slabaugh ,  Gozde Unal ,  Ti-chiun Chang

    发明人： Gregory G. Slabaugh ,  Gozde Unal ,  Ti-chiun Chang

    IPC分类号： A61B8/00 ,  A61B8/14

    CPC分类号： G06K9/40 ,  G06K9/4609

    摘要： A system and method for feature detection in ultrasound images is disclosed. The method estimates speckle distributions in windows on opposing sides of a pixel of an ultrasound image. The divergence is calculated for the pixel between the estimated speckle distributions in the windows. These steps are performed for each pixel in the ultrasound image, and a feature map is generated based on the divergence calculated between the estimated speckle distributions for each pixel.

    摘要翻译： 公开了一种用于超声图像中的特征检测的系统和方法。 该方法估计超声图像的像素的相对侧的窗口中的斑点分布。 对于窗口中估计的斑点分布之间的像素计算发散。 对超声图像中的每个像素执行这些步骤，并且基于在每个像素的估计散斑分布之间计算的发散度来生成特征图。

    Method and system for side detection of 3D undetailed ear impressions
    34.
    发明授权
    Method and system for side detection of 3D undetailed ear impressions 有权
    用于侧面检测3D未详细耳朵印象的方法和系统

    公开(公告)号：US08224094B2

    公开(公告)日：2012-07-17

    申请号：US12154951

    申请日：2008-05-28

    申请人： Rupen Melkisetoglu ,  Tong Fang ,  Fred McBagonluri ,  Gregory G. Slabaugh

    发明人： Rupen Melkisetoglu ,  Tong Fang ,  Fred McBagonluri ,  Gregory G. Slabaugh

    IPC分类号： G06K9/46

    CPC分类号： G06K9/00362 ,  G06K9/44 ,  H04R25/652 ,  H04R25/658 ,  H04R2225/77

    摘要： A method and system for side detection of an undetailed 3D ear impression is disclosed. In order to determine whether a received 3D undetailed ear impression is a left or right ear impression, a local coordinate system of the 3D undetailed ear is defined based on side independent features of the 3D undetailed ear impression. A skeleton (or center spline) of the 3D undetailed ear impression is detected, and it is determined whether the 3D undetailed ear impression is a left or right ear impression based on the skeleton and the local coordinate system.

    摘要翻译： 公开了一种用于侧面检测未详细3D耳朵印象的方法和系统。 为了确定接收的3D未详细的耳朵印象是否是左耳或右耳印象，基于3D未详细耳朵印象的侧面独立特征来定义3D未详细耳朵的局部坐标系。 检测3D未详细耳朵印象的骨架（或中心花键），并且基于骨架和局部坐标系确定3D未详细的耳朵印象是左耳还是右耳印象。

    Method and system for bone suppression based on a single x-ray image
    38.
    发明授权
    Method and system for bone suppression based on a single x-ray image 失效
    基于单个X射线图像的骨抑制方法和系统

    公开(公告)号：US08094904B2

    公开(公告)日：2012-01-10

    申请号：US12283441

    申请日：2008-09-12

    申请人： Gregory G. Slabaugh ,  Tong Fang ,  Kooksang Moon ,  Yunqiang Chen

    发明人： Gregory G. Slabaugh ,  Tong Fang ,  Kooksang Moon ,  Yunqiang Chen

    IPC分类号： G06K9/00

    CPC分类号： G06T5/002 ,  G06T5/005 ,  G06T5/20 ,  G06T2207/10116 ,  G06T2207/20064 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30008 ,  G06T2207/30064

    摘要： A method and system for suppressing bone structures based on a single x-ray image is disclosed. The bone structure suppressing method predicts a soft-tissue image without bone structures from an input x-ray image. A set of features is extracted for each pixel of the input x-ray image. A soft-tissue image is then generated from the input x-ray image using a trained regression function to determine an intensity value for the soft-tissue image corresponding to each pixel of the input x-ray image based on the set of features extracted for each pixel of the input x-ray image. The extracted features can be wavelet features and the regression function can be trained using Bayesian Committee Machine (BCM) to approximate Gaussian process regression (GPR).

    摘要翻译： 公开了一种基于单个X射线图像来抑制骨骼结构的方法和系统。 骨结构抑制方法从输入的X射线图像预测没有骨结构的软组织图像。 为输入x射线图像的每个像素提取一组特征。 然后使用训练回归函数从输入的X射线图像生成软组织图像，以基于为 输入x射线图像的每个像素。 提取的特征可以是小波特征，并且可以使用贝叶斯委员会机器（BCM）来训练回归函数来近似高斯过程回归（GPR）。

    Method and system for side detection of 3D undetailed ear impressions
    39.
    发明申请
    Method and system for side detection of 3D undetailed ear impressions 有权
    用于侧面检测3D未详细耳朵印象的方法和系统

    公开(公告)号：US20080310728A1

    公开(公告)日：2008-12-18

    申请号：US12154951

    申请日：2008-05-28

    申请人： Rupen Melkisetoglu ,  Tong Fang ,  Fred McBagonluri ,  Gregory G. Slabaugh

    发明人： Rupen Melkisetoglu ,  Tong Fang ,  Fred McBagonluri ,  Gregory G. Slabaugh

    IPC分类号： G06K9/46

    CPC分类号： G06K9/00362 ,  G06K9/44 ,  H04R25/652 ,  H04R25/658 ,  H04R2225/77

    摘要： A method and system for side detection of an undetailed 3D ear impression is disclosed. In order to determine whether a received 3D undetailed ear impression is a left or right ear impression, a local coordinate system of the 3D undetailed ear is defined based on side independent features of the 3D undetailed ear impression. A skeleton (or center spline) of the 3D undetailed ear impression is detected, and it is determined whether the 3D undetailed ear impression is a left or right ear impression based on the skeleton and the local coordinate system.

    摘要翻译： 公开了一种用于侧面检测未详细3D耳朵印象的方法和系统。 为了确定接收的3D未详细的耳朵印象是否是左耳或右耳印象，基于3D未详细耳朵印象的侧面独立特征来定义3D未详细耳朵的局部坐标系。 检测3D未详细耳朵印象的骨架（或中心花键），并且基于骨架和局部坐标系确定3D未详细的耳朵印象是左耳还是右耳印象。