Segmentation and identification of layered structures in images
    5.
    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:US09299155B2

    公开(公告)日:2016-03-29

    申请号:US14337215

    申请日:2014-07-21

    申请人: Duke University

    IPC分类号: G06K9/34 G06T7/00 A61B5/00

    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 CLOSED-CONTOUR FEATURES IN IMAGES USING GRAPH THEORY AND QUASI-POLAR TRANSFORM
    10.
    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

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

    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。