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    • 162. 发明申请
    • Pattern Inspection Method and Pattern Inspection System
    • 模式检验方法和模式检验系统
    • US20090039261A1
    • 2009-02-12
    • US12188096
    • 2008-08-07
    • Yasutaka ToyodaYasunari SoudaYuji TakagiKoji Arai
    • Yasutaka ToyodaYasunari SoudaYuji TakagiKoji Arai
    • G01N23/00
    • H01L22/12H01L2924/0002H01L2924/00
    • A pattern data examination method and system capable of accurately and speedily examining a circuit pattern without failing to extract pattern contour data are provided. While pattern comparison is ordinarily made by using a secondary electron image, a contour of a pattern element is extracted by using a backscattered electron image said to be suitable for observation and examination of a three dimensional configuration of a pattern element, and pattern inspection is executed by using the extracted contour of the pattern element. More specifically, pattern inspection is executed by comparing a contour of a pattern element with design data such as CAD data to measure a difference between the contour and the data, and by computing, for example, the size of the circuit pattern element from the contour of a pattern. From two or more backscattered electron images formed by detecting backscattered electrons at two or more different spatial positions, pattern contour data contained in the backscattered electron images may be obtained.
    • 提供了能够准确且快速地检查电路图案而不会提取图案轮廓数据的图形数据检查方法和系统。 虽然通常使用二次电子图像进行图案比较,但是通过使用所述适合于观察和检查图案元素的三维构造的背散射电子图像来提取图案元素的轮廓,并且执行图案检查 通过使用所提取的图案元素的轮廓。 更具体地,通过将​​图案元素的轮廓与诸如CAD数据的设计数据进行比较来测量轮廓和数据之间的差异,并且例如通过计算来自轮廓的电路图案元素的尺寸来执行图案检查 的模式。 通过在两个或更多个不同的空间位置检测反向散射电子形成的两个或更多个背散射电子图像,可以获得包含在背散射电子图像中的图案轮廓数据。
    • 165. 发明授权
    • Defect image classifying method and apparatus and a semiconductor device manufacturing process based on the method and apparatus
    • 基于该方法和装置的缺陷图像分类方法和装置以及半导体器件制造方法
    • US07356177B2
    • 2008-04-08
    • US11506310
    • 2006-08-17
    • Kenji ObaraYuji TakagiRyo NakagakiYasuhiko OzawaToshiei KurosakiSeiji Isogai
    • Kenji ObaraYuji TakagiRyo NakagakiYasuhiko OzawaToshiei KurosakiSeiji Isogai
    • G06K9/00
    • G06T7/001G06T2207/30148
    • According to the present invention, techniques including a method and apparatus for classifying and displaying images are provided. In an embodiment of the present invention a defect image classification method using inspected objects is provided. The method includes defect images obtained from at least one inspected object. Next a set of defect images is classified into a specified category, which has a feature. The defect images are arranged for display according to the feature and then displayed. The arranging of the defect images may also be based on an evaluation value for each defect image. Another embodiment provides a defect image classification method using inspected objects. Defect images are obtained from at least one inspected object. Next the defect images are classified into a plurality of categories and at least two information items for example, a defect distribution diagram showing locations of defects in the inspected object, information associated with a category of the plurality of categories, and a defect size distribution, are displayed.
    • 根据本发明,提供包括用于分类和显示图像的方法和装置的技术。 在本发明的一个实施例中,提供了使用检查对象的缺陷图像分类方法。 该方法包括从至少一个检查对象获得的缺陷图像。 接下来,一组缺陷图像被分类为具有特征的指定类别。 故障图像根据特征进行显示,然后显示。 缺陷图像的布置也可以基于每个缺陷图像的评估值。 另一实施例提供使用检查对象的缺陷图像分类方法。 从至少一个检查对象获得缺陷图像。 接下来,将缺陷图像分为多个类别和至少两个信息项,例如,示出被检查对象中的缺陷的位置的缺陷分布图,与多个类别的类别相关联的信息以及缺陷尺寸分布, 被显示。
    • 167. 发明申请
    • Defect image classifying method and apparatus and a semiconductor device manufacturing process based on the method and apparatus
    • 基于该方法和装置的缺陷图像分类方法和装置以及半导体器件制造方法
    • US20060274933A1
    • 2006-12-07
    • US11506310
    • 2006-08-17
    • Kenji ObaraYuji TakagiRyo NakagakiYasuhiro OzawaToshiei KurosakiSeiji Isogai
    • Kenji ObaraYuji TakagiRyo NakagakiYasuhiro OzawaToshiei KurosakiSeiji Isogai
    • G06K9/00G06K9/62
    • G06T7/001G06T2207/30148
    • According to the present invention, techniques including a method and apparatus for classifying and displaying images are provided. In an embodiment of the present invention a defect image classification method using inspected objects is provided. The method includes defect images obtained from at least one inspected object. Next a set of defect images is classified into a specified category, which has a feature. The defect images are arranged for display according to the feature and then displayed. The arranging of the defect images may also be based on an evaluation value for each defect image. Another embodiment provides a defect image classification method using inspected objects. Defect images are obtained from at least one inspected object. Next the defect images are classified into a plurality of categories and at least two information items for example, a defect distribution diagram showing locations of defects in the inspected object, information associated with a category of the plurality of categories, and a defect size distribution, are displayed.
    • 根据本发明,提供了包括用于分类和显示图像的方法和装置的技术。 在本发明的一个实施例中,提供了使用检查对象的缺陷图像分类方法。 该方法包括从至少一个检查对象获得的缺陷图像。 接下来,一组缺陷图像被分类为具有特征的指定类别。 故障图像根据特征进行显示,然后显示。 缺陷图像的布置也可以基于每个缺陷图像的评估值。 另一实施例提供使用检查对象的缺陷图像分类方法。 从至少一个检查对象获得缺陷图像。 接下来,将缺陷图像分为多个类别和至少两个信息项,例如,示出被检查对象中的缺陷的位置的缺陷分布图,与多个类别的类别相关联的信息以及缺陷尺寸分布, 被显示。
    • 170. 发明申请
    • Method and apparatus for detecting pattern defects
    • 检测图案缺陷的方法和装置
    • US20060215902A1
    • 2006-09-28
    • US11319271
    • 2005-12-29
    • Hisae ShibuyaAkira HamamatsuYuji Takagi
    • Hisae ShibuyaAkira HamamatsuYuji Takagi
    • G06K9/00
    • G06K9/6221G01N21/9501G01N21/95607G01N2021/8854G01N2021/95676
    • With the objective of achieving defect kind training in a short period of time to teach classification conditions of defects detected as a result of inspecting a thin film device, according to one aspect of the present invention, there is provided a visual inspection method, and an apparatus therefor, comprising the steps of: detecting defects based on inspection images acquired by optical or electronic defect detection means, and at the same time calculating features of the defects; and classifying the defects according to classification conditions set beforehand, wherein said classification condition setting step further includes the steps of: collecting defect features over a large number of defects acquired beforehand from the defect detection step; sampling defects based on the distribution of the collected defect features over the large number of defects; and setting defect classification conditions based on the result of reviewing the sampled defects.
    • 为了在短时间内实现缺陷种类训练,目的在于教导检查薄膜装置的检测缺陷的分类条件,根据本发明的一个方面,提供一种目视检查方法, 其装置包括以下步骤:基于由光学或电子缺陷检测装置获取的检查图像检测缺陷,同时计算缺陷的特征; 并根据预先设定的分类条件对缺陷进行分类,其中所述分类条件设置步骤还包括以下步骤:从缺陷检测步骤预先获取的大量缺陷中收集缺陷特征; 基于收集的缺陷特征分布在大量缺陷上的采样缺陷; 并根据检查采样缺陷的结果设置缺陷分类条件。