INSPECTION METHODS AND DEVICES
    3.
    发明申请
    INSPECTION METHODS AND DEVICES 有权
    检查方法和设备

    公开(公告)号:US20160335503A1

    公开(公告)日:2016-11-17

    申请号:US15034021

    申请日:2014-11-11

    Abstract: The present disclosure discloses an inspection method and device. The method comprises steps of acquiring a perspective image of an inspected object; processing the perspective image to obtain a region of interest; and automatically detecting the region of interest using a cigarette model, to determine whether the region of interest of the perspective image belongs to a cigarette. In the present disclosure, cigarette detection is implemented on a scanned image of goods, particularly a container, which can avoid the problem of detection vulnerability and poor effect of manual image judgment for the conventional manner, and is of significance in fighting against cigarette smuggling.

    Abstract translation: 本公开公开了一种检查方法和装置。 该方法包括获取被检查对象的透视图像的步骤; 处理透视图以获得感兴趣的区域; 并使用香烟模型自动检测感兴趣区域,以确定透视图像的感兴趣区域是否属于香烟。 在本公开中,香烟检测在商品的扫描图像,特别是容器上实现,其可以避免检测脆弱性的问题以及常规方式的手动图像判断的差的影响,并且对于打击卷烟走私具有重要意义。

    FLUOROSCOPIC INSPECTION METHOD, DEVICE AND STORAGE MEDIUM FOR AUTOMATIC CLASSIFICATION AND RECOGNITION OF CARGOES
    4.
    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

    Abstract: 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.

    Abstract translation: 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
    5.
    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

    Abstract: 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.

    Abstract translation: 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。

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