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    • 11. 发明申请
    • NUCLEAR MATERIAL DETECTION SYSTEM
    • 核材料检测系统
    • US20090052622A1
    • 2009-02-26
    • US12129055
    • 2008-05-29
    • Peter DuganRobert L. FinchShawn LockeGregory ReynerJohn M. MunleyKenei Suntarat
    • Peter DuganRobert L. FinchShawn LockeGregory ReynerJohn M. MunleyKenei Suntarat
    • G01N23/04
    • G01N23/06G06K9/6263
    • A method for automatically detecting nuclear material using radiographic images of a cargo container includes receiving a plurality of radiographic images of the cargo container and aligning the plurality of images with respect to each other to produce registered images. The method also includes segmenting the registered images using the atomic number and other edge/texture information in order to locate one or more regions of interest within the registered images and estimating atomic number information for each of a predetermined number of portions of the registered images. The method includes assigning a threat level and a confidence value to regions of interest identified as a potential threat and evaluating the regions of interest identified as potential threats using material context information and adjusting, based on the evaluation, the threat level values and confidences of the regions of interest identified as potential threats. The method also includes providing the regions of interest and adjusted threat level and confidence values as output to an operator station.
    • 使用货物集装箱的放射线图像自动检测核材料的方法包括:接收货物集装箱的多个放射照相图像并使多个图像相对于彼此对准以产生已注册的图像。 该方法还包括使用原子序号和其他边缘/纹理信息分割注册的图像,以便在注册的图像内定位一个或多个感兴趣的区域,并且为登记图像的预定数量的部分中的每一个估计原子序号信息。 该方法包括将威胁级别和置信度值分配给识别为潜在威胁的兴趣区域,并且使用材料上下文信息来评估被识别为潜在威胁的兴趣区域,并且基于评估调整威胁级别值和信任度 感兴趣的地区被认为是潜在的威胁。 该方法还包括将感兴趣区域和经调整的威胁级别和置信度值提供给操作员站的输出。
    • 12. 发明申请
    • OBJECT SEGMENTATION RECOGNITION
    • 对象分类识别
    • US20090003651A1
    • 2009-01-01
    • US12129036
    • 2008-05-29
    • Peter DuganKenei SuntaratRobert L. FinchRosemary D. Paradis
    • Peter DuganKenei SuntaratRobert L. FinchRosemary D. Paradis
    • G06K9/00
    • G01N23/06G06K9/6263
    • A system for segmenting radiographic images of a cargo container can include an object segmentation recognition module adapted to perform a series of functions. The functions can include receiving a plurality of radiographic images of a cargo container, each image generated using a different energy level and segmenting each of the radiographic images using one or more segmentation modules to generate segmentation data representing one or more image segments. The functions can also include identifying image layers within the radiographic images using a plurality of layer analysis modules by providing the plurality of radiographic images and the segmentation data as input to the layer analysis modules, and determining adjusted atomic number values for an atomic number image based on the image layers. The functions can include adjusting the atomic number image based on the adjusted atomic number values for the regions of interest to generate an adjusted atomic number image and identifying regions of interest within the adjusted atomic number image based on an image characteristic. The functions can also include providing coordinates of each region of interest and the adjusted atomic number image as output.
    • 用于分割货物集装箱的放射照相图像的系统可以包括适于执行一系列功能的物体分割识别模块。 这些功能可以包括接收货物集装箱的多个放射照相图像,使用不同的能量级别生成每个图像,并使用一个或多个分割模块分割每个放射线照相图像,以产生表示一个或多个图像片段的分割数据。 这些功能还可以包括通过提供多个放射照相图像和分割数据作为层分析模块的输入,并使用多个层分析模块来确定放射照相图像内的图像层,并确定基于原子序数图像的调整的原子序数值 在图像层上。 这些功能可以包括基于所感兴趣区域的经调整的原子序数值来调整原子序数图像,以产生经调整的原子序数图像,并且基于图像特征来识别调整后的原子序数图像内的感兴趣区域。 这些功能还可以包括提供每个感兴趣区域的坐标和调整后的原子序数图像作为输出。