会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 13. 发明授权
    • Highly constrained tomography for automated inspection of area arrays
    • 用于区域阵列自动检查的高度限制层析成像
    • US07099435B2
    • 2006-08-29
    • US10714321
    • 2003-11-15
    • John M. HeumannColin FoxDavid GinesNicholas Tufillaro
    • John M. HeumannColin FoxDavid GinesNicholas Tufillaro
    • G01N23/083
    • G01N23/046G01N2223/419
    • A tomographic reconstruction method and system incorporating Bayesian estimation techniques to inspect and classify regions of imaged objects, especially objects of the type typically found in linear, areal, or 3-dimensional arrays. The method and system requires a highly constrained model M that incorporates prior information about the object or objects to be imaged, a set of prior probabilities P(M) of possible instances of the object; a forward map that calculates the probability density P(D|M), and a set of projections D of the object. Using Bayesian estimation, the posterior probability p(M|D) is calculated and an estimated model MEST of the imaged object is generated. Classification of the imaged object into one of a plurality of classifications may be performed based on the estimated model MEST, the posterior probability p(M|D) or MAP function, or calculated expectation values of features of interest of the object.
    • 一种包含贝叶斯估计技术的断层重建方法和系统,用于检查和分类成像对象的区域,特别是通常在线性,面积或3维阵列中找到的类型的对象。 该方法和系统需要高度约束的模型M,其包含关于要成像的对象或对象的先前信息,对象的可能实例的一组先验概率P(M) 计算概率密度P(D | M)的前向映射和对象的一组投影D. 使用贝叶斯估计,计算后验概率p(M | D),并且生成成像对象的估计模型M EST。 可以基于估计的模型EST,后验概率p(M | D)或MAP函数或计算的特征的期望值来执行将成像对象分类为多个分类之一 对象的兴趣。