AUTOMATIC TONGUE DIAGNOSIS BASED ON CHROMATIC AND TEXTURAL FEATURES CLASSIFICATION USING BAYESIAN BELIEF NETWORKS
    1.
    发明申请
    AUTOMATIC TONGUE DIAGNOSIS BASED ON CHROMATIC AND TEXTURAL FEATURES CLASSIFICATION USING BAYESIAN BELIEF NETWORKS 审中-公开
    基于BAYESIAN BELIEF网络的基于色泽和纹理特征的自动TONGUE诊断分类

    公开(公告)号:US20080139966A1

    公开(公告)日:2008-06-12

    申请号:US11608243

    申请日:2006-12-07

    申请人: David ZHANG Bo PANG

    发明人: David ZHANG Bo PANG

    IPC分类号: A61B5/00

    摘要: A tongue diagnosis system based on chromatic and textural features of a subject's tongue, which is based on Bayesian analysis of two sets of quantitative features, related to the color and texture of the tongue, respectively. The two sets of quantitative features are extracted from a digital tongue image of the tongue. The system includes several modules for image acquisition, tongue contour extraction, color and texture features extraction, and Bayesian analysis, respectively. These modules may be connected and configured in a way that a disease diagnosis process, from tongue image acquisition to an output of a diagnosis result, is progressing automatically.

    摘要翻译: 一种基于主体舌头的色彩和纹理特征的舌头诊断系统,其基于与两个定量特征的贝叶斯分析相关的舌头的颜色和质地。 这两组定量特征从舌头的数字舌头图像中提取出来。 该系统包括用于图像采集,舌形轮廓提取,颜色和纹理特征提取以及贝叶斯分析的几个模块。 这些模块可以以从舌图像获取到诊断结果的输出的疾病诊断过程自动进行的方式被连接和配置。

    METHOD AND APPARATUS FOR DETECTING ABNORMAL SITUATION
    3.
    发明申请
    METHOD AND APPARATUS FOR DETECTING ABNORMAL SITUATION 审中-公开
    检测异常情况的方法和装置

    公开(公告)号:US20170024874A1

    公开(公告)日:2017-01-26

    申请号:US15143718

    申请日:2016-05-02

    IPC分类号: G06T7/00 G06K9/00

    CPC分类号: G06K9/00771 G06K9/00389

    摘要: A method and an apparatus for detecting an abnormal situation are disclosed. The method includes recognizing whether a detection target exists in a captured image; generating, based on the captured image, a three-dimensional point cloud of the detection target in the captured image, when the detection target exists; obtaining, based on the generated three-dimensional point cloud, one or more current posture features of the detection target; and determining, based on the current posture features and one or more predetermined posture feature standards, whether the abnormal situation exists, the posture feature standards being previously determined based on one or more common features when the detection target performs a plurality of abnormal actions.

    摘要翻译: 公开了一种用于检测异常情况的方法和装置。 该方法包括识别捕获图像中是否存在检测目标; 当所述检测目标存在时,基于所捕获的图像生成所述捕获图像中的所述检测目标的三维点云; 基于生成的三维点云获得检测对象的一个​​或多个当前姿态特征; 以及基于当前姿态特征和一个或多个预定姿势特征标准,确定是否存在异常情况,当检测目标执行多个异常动作时,基于一个或多个共同特征预先确定姿势特征标准。