利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

12 条记录 (耗时 0.019 秒)

    SEGMENTATION AND IDENTIFICATION OF CLOSED-CONTOUR FEATURES IN IMAGES USING GRAPH THEORY AND QUASI-POLAR TRANSFORM
    1.
    发明申请
    SEGMENTATION AND IDENTIFICATION OF CLOSED-CONTOUR FEATURES IN IMAGES USING GRAPH THEORY AND QUASI-POLAR TRANSFORM 有权
    使用理论和准极坐标变换的图像中关闭轮廓特征的分类和识别

    公开(公告)号：US20150371400A1

    公开(公告)日：2015-12-24

    申请号：US14762442

    申请日：2014-01-27

    申请人： DUKE UNIVERSITY

    发明人： Sina Farsiu ,  Stephanie J. Chiu ,  Joseph A. Izatt

    IPC分类号： G06T7/00 ,  G06T5/00 ,  G06T3/00

    CPC分类号： G06T7/13 ,  G06T3/00 ,  G06T5/00 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/162 ,  G06T2207/10056 ,  G06T2207/10101 ,  G06T2207/20072 ,  G06T2207/30041

    摘要： Segmentation and identification of closed-contour features in images using graph theory and quasi-polar transform are disclosed. According to an aspect, a method includes representing, in a rectangular domain, an image including a feature of interest. Further, the method includes determining a point within the feature of interest. The method also includes transforming the image of the feature from the rectangular domain to a quasi-polar domain based on the point. The quasi-polar domain is represented as a graph of nodes connected together by edges. The method also includes graph cutting the quasi-polar domain to identify the boundary of the feature of interest in the image.

    摘要翻译： 公开了使用图论和准极化变换对图像中的闭合轮廓特征的分割和识别。 根据一个方面，一种方法包括在矩形域中表示包括感兴趣特征的图像。 此外，该方法包括确定感兴趣的特征内的点。 该方法还包括基于该点将特征的图像从矩形域转换为准极性域。 准极性域被表示为通过边缘连接在一起的节点的图。 该方法还包括切割准极坐标图，以识别图像中感兴趣特征的边界。

    SEGMENTATION AND IDENTIFICATION OF LAYERED STRUCTURES IN IMAGES
    3.
    发明申请
    SEGMENTATION AND IDENTIFICATION OF LAYERED STRUCTURES IN IMAGES 有权
    图像中层状结构的分割和识别

    公开(公告)号：US20160171688A1

    公开(公告)日：2016-06-16

    申请号：US15049103

    申请日：2016-02-21

    申请人： Duke University

    发明人： Sina Farsiu ,  Stephanie J. Chiu ,  Cynthia A. Toth ,  Josheph A. Izatt ,  Xiao T. Li ,  Peter Christopher Nicholas

    IPC分类号： G06T7/00 ,  A61B3/10 ,  A61B3/00

    CPC分类号： G06T7/11 ,  A61B3/0025 ,  A61B3/102 ,  A61B5/0066 ,  A61B5/7203 ,  A61B2576/02 ,  G06K9/34 ,  G06T7/0012 ,  G06T7/162 ,  G06T2207/10004 ,  G06T2207/10101 ,  G06T2207/30041

    摘要： Disclosed herein are systems and method for segmentation and identification of structured features in images. According to an aspect, a method may include representing an image as a graph of nodes connected together by edges. For example, the image may be an ocular image showing layered structures or other features of the retina. The method may also include adding, to the graph, nodes adjacent to nodes along first and second sides of the graph. The added nodes may have edge weights less than the nodes along the first and second sides of the graph. Further, the method may include assigning start and end points to any of the added nodes along the first and second sides, respectively. The method may also include graph cutting between the start and end points for identifying a feature in the image.

    摘要翻译： 这里公开了用于分割和识别图像中的结构化特征的系统和方法。 根据一个方面，一种方法可以包括将图像表示为由边缘连接在一起的节点的图形。 例如，图像可以是显示视网膜的分层结构或其他特征的眼睛图像。 该方法还可以包括向图中添加与图的第一和第二侧相邻的节点相邻的节点。 添加的节点可以具有小于沿图的第一和第二侧的节点的边权重。 此外，该方法可以包括分别将起点和终点分配给沿着第一和第二侧的任何添加的节点。 该方法还可以包括用于识别图像中的特征的开始点和结束点之间的图形切割。

    SEGMENTATION AND IDENTIFICATION OF LAYERED STRUCTURES IN IMAGES
    4.
    发明申请
    SEGMENTATION AND IDENTIFICATION OF LAYERED STRUCTURES IN IMAGES 审中-公开
    图像中层状结构的分割和识别

    公开(公告)号：US20140334703A1

    公开(公告)日：2014-11-13

    申请号：US14337215

    申请日：2014-07-21

    申请人： Duke University

    发明人： Sina Farsiu ,  Stephanie J. Chiu ,  Cynthia A. Toth ,  Joseph A. Izatt ,  Xiao T. Li ,  Peter Christopher Nicholas

    IPC分类号： G06T7/00 ,  A61B5/00

    CPC分类号： G06T7/11 ,  A61B3/0025 ,  A61B3/102 ,  A61B5/0066 ,  A61B5/7203 ,  A61B2576/02 ,  G06K9/34 ,  G06T7/0012 ,  G06T7/162 ,  G06T2207/10004 ,  G06T2207/10101 ,  G06T2207/30041

    摘要： Disclosed herein are systems and method for segmentation and identification of structured features in images. According to an aspect, a method may include representing an image as a graph of nodes connected together by edges. For example, the image may be an ocular image showing layered structures or other features of the retina. The method may also include adding, to the graph, nodes adjacent to nodes along first and second sides of the graph. The added nodes may have edge weights less than the nodes along the first and second sides of the graph. Further, the method may include assigning start and end points to any of the added nodes along the first and second sides, respectively. The method may also include graph cutting between the start and end points for identifying a feature in the image.

    摘要翻译： 这里公开了用于分割和识别图像中的结构化特征的系统和方法。 根据一个方面，一种方法可以包括将图像表示为由边缘连接在一起的节点的图形。 例如，图像可以是显示视网膜的分层结构或其他特征的眼睛图像。 该方法还可以包括向图中添加与图的第一和第二侧相邻的节点相邻的节点。 添加的节点可以具有小于沿图的第一和第二侧的节点的边权重。 此外，该方法可以包括分别将起点和终点分配给沿着第一和第二侧的任何添加的节点。 该方法还可以包括用于识别图像中的特征的开始点和结束点之间的图形切割。

    Segmentation and identification of layered structures in images
    6.
    发明授权
    Segmentation and identification of layered structures in images 有权
    图像中分层结构的分割和识别

    公开(公告)号：US09589346B2

    公开(公告)日：2017-03-07

    申请号：US15049103

    申请日：2016-02-21

    申请人： Duke University

    发明人： Sina Farsiu ,  Stephanie J. Chiu ,  Cynthia A. Toth ,  Josheph A. Izatt ,  Xiao T. Li ,  Peter Christopher Nicholas

    IPC分类号： G06K9/34 ,  G06T7/00 ,  A61B5/00 ,  A61B3/00 ,  A61B3/10

    CPC分类号： G06T7/11 ,  A61B3/0025 ,  A61B3/102 ,  A61B5/0066 ,  A61B5/7203 ,  A61B2576/02 ,  G06K9/34 ,  G06T7/0012 ,  G06T7/162 ,  G06T2207/10004 ,  G06T2207/10101 ,  G06T2207/30041

    摘要： Disclosed herein are systems and method for segmentation and identification of structured features in images. According to an aspect, a method may include representing an image as a graph of nodes connected together by edges. For example, the image may be an ocular image showing layered structures or other features of the retina. The method may also include adding, to the graph, nodes adjacent to nodes along first and second sides of the graph. The added nodes may have edge weights less than the nodes along the first and second sides of the graph. Further, the method may include assigning start and end points to any of the added nodes along the first and second sides, respectively. The method may also include graph cutting between the start and end points for identifying a feature in the image.

    摘要翻译： 这里公开了用于分割和识别图像中的结构化特征的系统和方法。 根据一个方面，一种方法可以包括将图像表示为由边缘连接在一起的节点的图形。 例如，图像可以是显示视网膜的分层结构或其他特征的眼睛图像。 该方法还可以包括向图中添加与图的第一和第二侧相邻的节点相邻的节点。 添加的节点可以具有小于沿图的第一和第二侧的节点的边权重。 此外，该方法可以包括分别将起点和终点分配给沿着第一和第二侧的任何添加的节点。 该方法还可以包括用于识别图像中的特征的开始点和结束点之间的图形切割。

    COMPUTATIONAL IMAGE CONTRAST FROM MULTI-DIMENSIONAL DATA
    7.
    发明公开
    COMPUTATIONAL IMAGE CONTRAST FROM MULTI-DIMENSIONAL DATA 审中-公开

    公开(公告)号：US20240281940A1

    公开(公告)日：2024-08-22

    申请号：US18581157

    申请日：2024-02-19

    申请人： Duke University

    发明人： Kevin Zhou ,  Ryan McNabb ,  Ruobing Qian ,  Al-Hafeez Dhalla ,  Sina Farsiu ,  Joseph Izatt

    IPC分类号： G06T5/90 ,  G06T3/4053 ,  G06T7/30

    CPC分类号： G06T5/90 ,  G06T3/4053 ,  G06T7/30 ,  G06T2207/10101 ,  G06T2207/20084

    摘要： A method of performing computational image contrast from multidimensional data includes receiving a plurality of images of an object, with each image of the plurality of images having more than three dimensions, performing multi-dimensional registration of the plurality of images to generate a multi-dimensional dataspace, reducing dimensionality of the multi-dimensional dataspace to create an enhanced resolution and contrast image of a 3D space of the object using the plurality of images as registered in the multi-dimensional dataspace, and displaying the enhanced resolution and contrast image. In some cases, reducing the dimensionality of the multi-dimensional dataspace to create the enhanced resolution and contrast image of the 3D space of the object comprises utilizing at least one of variance, high-order statistics, entropy, principal component analysis, t-distributed stochastic neighborhood embedding, and neural networks using the plurality of images as registered in the multi-dimensional dataspace.

    FEATURE-FREE PHOTOGRAMMETRIC 3D IMAGING WITH CAMERAS UNDER UNCONSTRAINED MOTION
    8.
    发明申请
    FEATURE-FREE PHOTOGRAMMETRIC 3D IMAGING WITH CAMERAS UNDER UNCONSTRAINED MOTION 有权

    公开(公告)号：US20220188996A1

    公开(公告)日：2022-06-16

    申请号：US17547731

    申请日：2021-12-10

    申请人： DUKE UNIVERSITY ,  RAMONA OPTICS INC.

    发明人： Kevin Zhou ,  Colin Cooke ,  Jaehee Park ,  Ruobing Qian ,  Roarke Horstmeyer ,  Joseph Izatt ,  Sina Farsiu

    IPC分类号： G06T5/50 ,  G06T5/00

    摘要： A method of mesoscopic photogrammetry can be carried out using a set of images captured from a camera on a mobile computing device. Upon receiving the set of images, the method generates a composite image, which can include applying homographic rectification to warp all images of the set of images onto a common plane; applying a rectification model to undo perspective distortion in each image of the set of images; and applying an undistortion model for adjusting for camera imperfections of a camera that captured each image of the set of images. A height map is generated co-registered with the composite image, for example, by using an untrained CNN whose weights/parameters are optimized in order to optimize the height map. The height map and the composite image can be output for display.