METHOD AND SYSTEM FOR CLASSIFIYING DEFECTS OCCURRING AT A SURFACE OF A SUBSTRATE USING GRAPHICAL REPRESENTATION OF MULTI-CHANNEL DATA
    3.
    发明申请
    METHOD AND SYSTEM FOR CLASSIFIYING DEFECTS OCCURRING AT A SURFACE OF A SUBSTRATE USING GRAPHICAL REPRESENTATION OF MULTI-CHANNEL DATA 审中-公开
    使用多通道数据的图形表示对基板表面进行分类缺陷的方法和系统

    公开(公告)号:WO2004111618A3

    公开(公告)日:2005-05-06

    申请号:PCT/US2004018323

    申请日:2004-06-09

    Abstract: A population of data points each having three or more parameters associated therewith, such as multi-channel defect data from an optical scanner, are plotted in three dimensions, and grouping of data points are identified. Boundary surfaces are defined in the three-dimensional space for delineating groupings of data points. The different groupings correspond to different data classifications or types. Classification algorithms based on the boundary surfaces are defined. When applied to defect classification, the algorithms can be exported to an optical scanner for runtime classification of defects. An algorithm for identifying a particular grouping of data points can be defined as a Boolean combination of grouping rules from two or more different n-dimensional representations, where n can be either 2 or 3 for each representation.

    Abstract translation: 每个具有与其相关联的三个或多个参数的数据点的数据点(诸如来自光学扫描仪的多通道缺陷数据)被绘制在三维中,并且识别数据点的分组。 边界面在三维空间中定义,用于描绘数据点的分组。 不同的分组对应于不同的数据分类或类型。 定义基于边界面的分类算法。 当应用于缺陷分类时,算法可以导出到光学扫描仪中以进行缺陷的运行时分类。 用于识别数据点的特定分组的算法可以被定义为来自两个或更多个不同n维表示的分组规则的布尔组合,其中对于每个表示,n可以是2或3。

    7.
    发明专利
    未知

    公开(公告)号:DE112004001024T5

    公开(公告)日:2006-06-01

    申请号:DE112004001024

    申请日:2004-06-09

    Applicant: ADE CORP

    Abstract: A population of data points each having three or more parameters associated therewith, such as multi-channel defect data from an optical scanner, are plotted in three dimensions, and groupings of data points are identified. Boundary surfaces are defined in the three-dimensional space for delineating groupings of data points. The different groupings correspond to different data classifications or types. Classification algorithms based on the boundary surfaces are defined. When applied to defect classification, the algorithms can be exported to an optical scanner for runtime classification of defects. An algorithm for identifying a particular grouping of data points can be defined as a Boolean combination of grouping rules from two or more different n-dimensional representations, where n can be either 2 or 3 for each representation.

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