Method and system for identifying defects in radiographic image data corresponding to a scanned object
    3.
    发明授权
    Method and system for identifying defects in radiographic image data corresponding to a scanned object 有权
    用于识别与扫描对象相对应的放射线图像数据中的缺陷的方法和系统

    公开(公告)号:US08238635B2

    公开(公告)日:2012-08-07

    申请号:US12052943

    申请日:2008-03-21

    IPC分类号: G06K9/00

    摘要: A method for identifying defects in radiographic image data corresponding to a scanned object is provided. The method includes acquiring radiographic image data corresponding to a scanned object. In one embodiment, the radiographic image data includes an inspection test image and a reference image corresponding to the scanned object. The method includes identifying one or more regions of interest in the reference image and aligning the inspection test image with the regions of interest identified in the reference image, to obtain a residual image. The method further includes identifying one or more defects in the inspection test image based upon the residual image and one or more defect probability values computed for one or more pixels in the residual image.

    摘要翻译: 提供了一种用于识别与扫描对象相对应的放射线图像数据中的缺陷的方法。 该方法包括获取与扫描对象相对应的放射线图像数据。 在一个实施例中,放射照相图像数据包括检查测试图像和对应于被扫描物体的参考图像。 该方法包括识别参考图像中的一个或多个感兴趣区域并使检查测试图像与参考图像中标识的感兴趣区域对准,以获得残差图像。 该方法还包括基于对残差图像中的一个或多个像素计算的残差图像和一个或多个缺陷概率值来识别检查测试图像中的一个或多个缺陷。

    METHOD AND SYSTEM FOR IDENTIFYING DEFECTS IN RADIOGRAPHIC IMAGE DATA CORRESPONDING TO A SCANNED OBJECT
    4.
    发明申请
    METHOD AND SYSTEM FOR IDENTIFYING DEFECTS IN RADIOGRAPHIC IMAGE DATA CORRESPONDING TO A SCANNED OBJECT 有权
    用于识别与扫描对象相关的放射图像数据中的缺陷的方法和系统

    公开(公告)号:US20090238432A1

    公开(公告)日:2009-09-24

    申请号:US12052943

    申请日:2008-03-21

    IPC分类号: G06K9/00

    摘要: A method for identifying defects in radiographic image data corresponding to a scanned object is provided. The method includes acquiring radiographic image data corresponding to a scanned object. In one embodiment, the radiographic image data includes an inspection test image and a reference image corresponding to the scanned object. The method includes identifying one or more regions of interest in the reference image and aligning the inspection test image with the regions of interest identified in the reference image, to obtain a residual image. The method further includes identifying one or more defects in the inspection test image based upon the residual image and one or more defect probability values computed for one or more pixels in the residual image.

    摘要翻译: 提供了一种用于识别与扫描对象相对应的放射线图像数据中的缺陷的方法。 该方法包括获取与扫描对象相对应的放射线图像数据。 在一个实施例中,放射照相图像数据包括检查测试图像和对应于被扫描物体的参考图像。 该方法包括识别参考图像中的一个或多个感兴趣区域并使检查测试图像与参考图像中标识的感兴趣区域对准,以获得残差图像。 该方法还包括基于对残差图像中的一个或多个像素计算的残差图像和一个或多个缺陷概率值来识别检查测试图像中的一个或多个缺陷。

    METHOD AND SYSTEM FOR AUTOMATED X-RAY INSPECTION OF OBJECTS
    5.
    发明申请
    METHOD AND SYSTEM FOR AUTOMATED X-RAY INSPECTION OF OBJECTS 审中-公开
    自动X射线检测对象的方法与系统

    公开(公告)号:US20100220910A1

    公开(公告)日:2010-09-02

    申请号:US12395761

    申请日:2009-03-02

    IPC分类号: G06K9/00

    CPC分类号: G06T7/001 G06T2207/10116

    摘要: An anomaly detection method and system for comparing a scanned object to an idealized object is provided. The anomaly detection method includes generating a three-dimensional reference model of the idealized object. The anomaly detection method further includes acquiring at least one two-dimensional inspection test image of the scanned object. The anamoly detection method also includes determining a two-dimensional reference image from the three-dimensional reference model using multiple pose parameters, wherein the two-dimensional reference image corresponds to the same view of the three-dimensional reference model of the idealized object as the view of the two-dimensional inspection test image of the scanned object. The anamoly detection method further includes identifying one or more defects in the inspection test image via automated defect recognition technique.

    摘要翻译: 提供了一种用于将扫描对象与理想对象进行比较的异常检测方法和系统。 异常检测方法包括生成理想化对象的三维参考模型。 异常检测方法还包括获取扫描对象的至少一个二维检查测试图像。 异烟草检测方法还包括使用多个姿态参数从三维参考模型确定二维参考图像,其中二维参考图像对应于理想化对象的三维参考模型的相同视图,如 查看扫描对象的二维检查测试图像。 异烟草检测方法还包括通过自动化缺陷识别技术识别检查测试图像中的一个或多个缺陷。

    Methods and systems for removing autofluorescence from images
    8.
    发明授权
    Methods and systems for removing autofluorescence from images 有权
    从图像中去除自发荧光的方法和系统

    公开(公告)号:US08031924B2

    公开(公告)日:2011-10-04

    申请号:US11948205

    申请日:2007-11-30

    IPC分类号: G06K9/00

    摘要: Method and systems for removing any inherent autofluorescence associated with a biological material, comprising: acquiring a first reference image of the biological material; acquiring a first set of one or more images of the biological material using one or more filters corresponding to one or more information dyes; applying the one or more additional dyes to the biological material and then acquiring a second set of one or more images comprising a separate image of the biological material with each of the filters corresponding to the information dyes and a second reference image of the biological material; coregistering the first and second reference images; and then removing any inherent autofluorescence exhibited in the informational images acquired.

    摘要翻译: 用于去除与生物材料相关联的任何固有自发荧光的方法和系统,包括:获取所述生物材料的第一参考图像; 使用对应于一种或多种信息染料的一个或多个过滤器获取所述生物材料的第一组一个或多个图像; 将一种或多种另外的染料施加到生物材料上,然后获取包含生物材料的单独图像的第二组一个或多个图像,其中每个滤色器对应于信息染料和生物材料的第二参考图像; 整合第一和第二参考图像; 然后去除所获得的信息图像中显示的任何固有自发荧光。

    System and method for co-registering multi-channel images of a tissue micro array
    9.
    发明申请
    System and method for co-registering multi-channel images of a tissue micro array 有权
    用于共同记录组织微阵列的多通道图像的系统和方法

    公开(公告)号:US20080032328A1

    公开(公告)日:2008-02-07

    申请号:US11500028

    申请日:2006-08-07

    IPC分类号: G01N1/30 G06F19/00 G06T7/40

    摘要: A system and methods for co-registering multi-channel images of a tissue micro array, comprising the steps of, providing a biological material on a substrate; applying one or more molecular probes, adapted to provide fluorescent molecular markers, to the biological material; obtaining a first digital image of the biological material and the fluorescent molecular markers; applying a morphological stain to the biological material; obtaining a second digital image of the biological material, computing information common to the first and second images; and co-registering the second image with the first image based on one or more registration metrics.

    摘要翻译: 一种用于共同配准组织微阵列的多通道图像的系统和方法,包括以下步骤:在基底上提供生物材料; 将一种或多种适于提供荧光分子标记的分子探针应用于生物材料; 获得生物材料和荧光分子标记物的第一数字图像; 对生物材料施加形态染色; 获得生物材料的第二数字图像,计算第一和第二图像共同的信息; 以及基于一个或多个注册度量与所述第一图像共同配准所述第二图像。