MULTI-ENERGY-SPECTRUM X-RAY IMAGING SYSTEM AND METHOD OF SUBSTANCE IDENTIFICATION OF ITEM TO BE INSPECTED BY USING THE SAME

    公开(公告)号:US20200309987A1

    公开(公告)日:2020-10-01

    申请号:US16314093

    申请日:2017-09-12

    IPC分类号: G01V5/00 G01N23/087 G01R23/18

    摘要: The present disclosure discloses a method of substance identification of an item to be inspected using a multi-energy-spectrum X-ray imaging system, the method comprising: acquiring a transparency related vector consisting of transparency values of the item to be inspected in N energy regions, wherein N is greater than 2; calculating distances between the transparency related vector and transparency related vectors stored in the system consisting of N transparency mean values of multiple kinds of items with multiple thicknesses in the N energy regions; and identifying the item to be inspected as the item corresponding to the minimum distance. The present disclosure is based on a multi-energy-spectrum X-ray imaging system, and proposes a method of substance identification by analyzing the multi-energy-spectrum substance identification issue.

    INSPECTION DEVICES AND METHODS FOR INSPECTING A CONTAINER

    公开(公告)号:US20180195979A1

    公开(公告)日:2018-07-12

    申请号:US15865520

    申请日:2018-01-09

    摘要: A method for inspecting a container and an inspection device are disclosed. X-ray scanning is performed on the inspected container to obtain a scanned image. The scanned image is processed to obtain a region of interest. Features of texture units included in the region of interest are calculated. Local descriptions of the texture units are formed based on the features of the texture units. Distinction of each local point is calculated from a local description of each of the texture units so as to obtain a local distinct map of the region of interest. It is determined whether there is an article which is secretly carried in the inspected container using the local distinct map.

    Methods and apparatuses for creating a statistical average model of an enamel-dentine junction
    7.
    发明申请
    Methods and apparatuses for creating a statistical average model of an enamel-dentine junction 审中-公开
    用于创建釉质 - 牙质结的统计平均模型的方法和装置

    公开(公告)号:US20150220683A1

    公开(公告)日:2015-08-06

    申请号:US14540457

    申请日:2014-11-13

    IPC分类号: G06F19/12 G06F17/18

    摘要: Disclosed is method and apparatus for creating a statistical average model of an enamel-dentine junction. The method includes steps of: acquiring CT image data of a tooth; segmenting the CT image data to obtain a surface of an enamel-dentine junction; segmenting the obtained surface using a curvature-based clustering algorithm to remove a bottom of the enamel-dentine junction; spherical-parameterizing, by means of spherical harmonic analysis, the surface of the enamel-dentine junction after removal of the bottom; and aligning different samples of the tooth to obtain a statistical average model.

    摘要翻译: 公开了用于创建釉质 - 牙质结的统计平均模型的方法和装置。 该方法包括以下步骤:获取牙齿的CT图像数据; 分割CT图像数据以获得釉 - 牙质结的表面; 使用基于曲率的聚类算法分割所获得的表面以去除釉质 - 牙质结的底部; 球形参数化,通过球面谐波分析,去除底部后的釉质 - 牙质结的表面; 并对齐不同牙齿样本以获得统计学平均模型。

    FLUOROSCOPIC INSPECTION METHOD, DEVICE AND STORAGE MEDIUM FOR AUTOMATIC CLASSIFICATION AND RECOGNITION OF CARGOES
    8.
    发明申请
    FLUOROSCOPIC INSPECTION METHOD, DEVICE AND STORAGE MEDIUM FOR AUTOMATIC CLASSIFICATION AND RECOGNITION OF CARGOES 审中-公开
    荧光检查方法,用于自动分类和识别货物的设备和储存介质

    公开(公告)号:US20150189239A1

    公开(公告)日:2015-07-02

    申请号:US14580488

    申请日:2014-12-23

    IPC分类号: H04N7/18 G06K9/62 G06K9/46

    摘要: The present disclosure relates to a fluoroscopic inspection system for automatic classification and recognition of cargoes. The system includes: an image data acquiring unit, configured to perform scanning and imaging for a container by using an X-ray scanning device to acquire a scanned image; an image segmenting unit, configured to segment the scanned image into small regions each having similar gray scales and texture features; a feature extracting unit, configured to extract features of the small regions; a training unit, configured to generate a classifier according to annotated images; and a classification and recognition unit, configured to recognize the small regions by using the classifier according to the extracted features, to obtain a probability of each small region pertaining to a certain category of cargoes, and merge small regions to obtain large regions each representing a category.

    摘要翻译: 本公开涉及一种用于自动分类和识别货物的荧光检查系统。 该系统包括:图像数据获取单元,被配置为通过使用X射线扫描装置对容器进行扫描和成像以获取扫描图像; 图像分割单元,被配置为将扫描图像分割成具有相似灰度和纹理特征的小区域; 特征提取单元,被配置为提取所述小区域的特征; 训练单元,被配置为根据注释的图像生成分类器; 以及分类识别单元,被配置为根据提取的特征通过使用分类器来识别小区域,以获得与特定类别的货物相关的每个小区域的概率,并且合并小区域以获得每个表示 类别。

    RETRIEVING SYSTEM, RETRIEVING METHOD, AND SECURITY INSPECTION DEVICE BASED ON CONTENTS OF FLUOROSCOPIC IMAGES
    9.
    发明申请
    RETRIEVING SYSTEM, RETRIEVING METHOD, AND SECURITY INSPECTION DEVICE BASED ON CONTENTS OF FLUOROSCOPIC IMAGES 审中-公开
    基于荧光图像内容的检索系统,检索方法和安全检查设备

    公开(公告)号:US20150186374A1

    公开(公告)日:2015-07-02

    申请号:US14580571

    申请日:2014-12-23

    摘要: Disclosed are a retrieving system and a retrieving method based on content of fluoroscopic images, the retrieving system comprising: a pre-classifying module, configured to pre-classify fluoroscopic images; an image content feature extracting module, configured to perform feature extraction for contents of the fluoroscopic images; an image representing module, configured to construct an image representation vector; a retrieving module, configured to construct a result of preliminary candidates; a diversified filtering module, configured to filter the result of preliminary candidates, select an image subset capable of covering a plurality of article categories, and thereby construct a diversified retrieval result; a correlation feedback regulating module, configured to receive information feedback on the retrieval result from a user, and update the retrieval model; and an interacting module, configured to display the retrieval result, and collect feedback on user's satisfaction of the retrieval result.

    摘要翻译: 公开了一种基于荧光透视图像的内容的检索系统和检索方法,所述检索系统包括:预分类模块,被配置为预先对荧光图像进行分类; 图像内容特征提取模块,被配置为对所述透视图像的内容执行特征提取; 图像表示模块,被配置为构造图像表示向量; 检索模块,被配置为构建初步候选的结果; 多元化过滤模块,被配置为过滤初步候选的结果,选择能够覆盖多个文章类别的图像子集,从而构建多样化的检索结果; 相关反馈调节模块,被配置为从用户接收关于检索结果的信息反馈,并更新检索模型; 以及交互模块,用于显示检索结果,并收集用户对检索结果满意度的反馈。