Systems and methods for determining parameters for image analysis
    6.
    发明授权
    Systems and methods for determining parameters for image analysis 有权
    用于确定图像分析参数的系统和方法

    公开(公告)号:US09324155B2

    公开(公告)日:2016-04-26

    申请号:US14202853

    申请日:2014-03-10

    Abstract: Systems and methods for determining parameters for image analysis are provided. One method includes obtaining ultrasound data of an object, generating an image of the object, and identifying a region of interest in the image. The method also includes determining a plurality of spatially varying parameters for image analysis of the region of interest using prior information for one or more objects of interest, including prior location information for the one or more objects of interest, and wherein the plurality of spatially varying parameters are determined for a plurality of sections of the region of interest and different for at least some of the plurality of sections. The method further includes using the plurality of spatially varying parameters for performing image analysis of the region of interest in the image to determine the location of the one or more objects of interest.

    Abstract translation: 提供了用于确定图像分析参数的系统和方法。 一种方法包括获取对象的超声数据,生成对象的图像,以及识别图像中的感兴趣区域。 该方法还包括使用用于一个或多个感兴趣对象的先验信息来确定用于感兴趣区域的图像分析的多个空间变化参数,包括用于一个或多个感兴趣对象的先前位置信息,并且其中多个空间上可变的 为感兴趣区域的多个部分确定参数,并且对于多个部分中的至少一些部分是不同的。 该方法还包括使用多个空间变化参数来执行图像中的感兴趣区域的图像分析,以确定感兴趣的一个或多个物体的位置。

    System and method for seismic data interpretation

    公开(公告)号:US10147173B2

    公开(公告)日:2018-12-04

    申请号:US14985901

    申请日:2015-12-31

    Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

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