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    • 31. 发明申请
    • Method and System for Image Segmentation by Evolving Radial Basis functions
    • 通过演进径向基函数进行图像分割的方法和系统
    • US20080112617A1
    • 2008-05-15
    • US11926857
    • 2007-10-29
    • Gregory G. SlabaughGozde Unal
    • Gregory G. SlabaughGozde Unal
    • G06K9/34
    • G06K9/6207G06T7/12G06T7/149
    • 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.
    • 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。
    • 32. 发明授权
    • Active polyhedron for 3D image segmentation
    • 用于3D图像分割的活动多面体
    • US07333105B2
    • 2008-02-19
    • US11067151
    • 2005-02-24
    • Gregory G. SlabaughGozde UnalJason Jenn-Kwei Tyan
    • Gregory G. SlabaughGozde UnalJason Jenn-Kwei Tyan
    • G06T17/00G06K9/34
    • G06K9/6207G06K9/00214
    • 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.
    • 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。