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    • 45. 发明授权
    • Method and apparatus for reviewing defects
    • 检查缺陷的方法和装置
    • US07657078B2
    • 2010-02-02
    • US11311254
    • 2005-12-20
    • Ryo NakagakiToshifumi Honda
    • Ryo NakagakiToshifumi Honda
    • G06K9/00
    • G06T7/001G06T2207/30148
    • An apparatus for reviewing defects including an image processing section (defect classification device section) with a function of estimating a non-defective state (reference image) of a portion in which the defect exists by use of a defect image, and a function of judging criticality or non-flat state of the defect by use of the estimation result. It becomes possible to establish both of a high-throughput image collecting sequence in which any reference image is not acquired and high-precision defect classification, and then to realize both of a high performance classifying function and a high-throughput image collecting function in a defect reviewing apparatus which automatically collects and classifies images of defects existing on a sample of a semiconductor wafer or the like.
    • 一种用于检查缺陷的装置,包括具有通过使用缺陷图像来估计存在缺陷的部分的非缺陷状态(参考图像)的功能的图像处理部分(缺陷分类装置部分),以及判断 通过使用估计结果,缺陷的关键性或非平坦状态。 可以建立不获取任何参考图像的高通量图像采集序列和高精度缺陷分类,然后实现高性能分类功能和高吞吐量图像采集功能 缺陷检查装置,其自动地收集和分类存在于半导体晶片等的样本上的缺陷的图像。
    • 47. 发明申请
    • Method and apparatus for reviewing defects
    • 检查缺陷的方法和装置
    • US20070201739A1
    • 2007-08-30
    • US11704350
    • 2007-02-09
    • Ryo NakagakiMasaki KuriharaToshifumi Honda
    • Ryo NakagakiMasaki KuriharaToshifumi Honda
    • G06K9/00
    • G06T7/0006G06K9/6256G06T7/0004G06T7/001G06T2207/10056G06T2207/10061G06T2207/30148
    • In apparatuses for automatically acquiring and also for automatically classifying images of defects present on a sample such as a semiconductor wafer, a classifying system is provided which are capable of readily accepting even such a case that a large number of classification classes are produced based upon a request issued by a user, and also even such a case that a basis of the classification class is changed in a high frequency. When the user defines the classification classes, a device for designating attributes owned by the respective classification classes is provided. The classifying system automatically changes a connecting mode between an internally-provided rule-based classifier and an example-based classifier, so that such a classifying system which is fitted to the classification basis of the user is automatically constructed.
    • 在用于自动获取并且还自动分类诸如半导体晶片的样本上存在的缺陷的图像的设备中,提供了能够容易地接受甚至基于以下情况产生大量分类等级的情况的分类系统 由用户发出的请求,甚至是分类等级的基础被高频地改变的情况。 当用户定义分类类时,提供用于指定由各个分级类所拥有的属性的设备。 分类系统自动地在内部提供的基于规则的分类器和基于示例的分类器之间改变连接模式,从而自动构建适合用户分类基础的这样的分类系统。
    • 48. 发明申请
    • Method and apparatus for reviewing defects of semiconductor device
    • 检查半导体器件缺陷的方法和装置
    • US20070031026A1
    • 2007-02-08
    • US11488636
    • 2006-07-19
    • Masaki KuriharaToshifumi HondaRyo Nakagaki
    • Masaki KuriharaToshifumi HondaRyo Nakagaki
    • G06K9/00
    • G06T7/001G06T2207/30148H01J37/222H01J37/28H01J2237/2817
    • A method and apparatus for reviewing defects of a semiconductor device is provided which involves detecting a defect on a SEM image taken at low magnification, and reviewing the defect on a SEM image taken at high magnification, and which can review a lot of defects in a short period of time thereby to improve the efficiency of defect review. In the present invention, the method for reviewing defects of a semiconductor device includes the steps of obtaining an image including a defect on the semiconductor device detected by a detection device by use of a scanning electron microscope at a first magnification, making a reference image from the image including the defect obtained at the first magnification, detecting the defect by comparing the image including the defect obtained at the first magnification to the reference image made from the image including the defect at the first magnification, and taking an image of the detected defect at a second magnification that is larger than the first magnification.
    • 提供了一种用于检查半导体器件缺陷的方法和装置,其涉及检测在低放大倍率下拍摄的SEM图像上的缺陷,并且以高倍放大倍数检查SEM图像上的缺陷,并且可以检查在 短时间内可以提高缺陷检查的效率。 在本发明中,用于检查半导体器件的缺陷的方法包括以下步骤:通过使用扫描电子显微镜以第一放大率获得由检测装置检测的半导体器件上的缺陷的图像,从而 所述图像包括在第一放大处获得的缺陷,通过将包括在第一放大获得的缺陷的图像与由包含第一放大率的缺陷构成的图像进行比较的图像进行比较来检测缺陷,并且获取检测到的缺陷的图像 在大于第一放大率的第二放大倍率下。
    • 49. 发明授权
    • Method and apparatus for reviewing defect
    • 检查缺陷的方法和装置
    • US09342879B2
    • 2016-05-17
    • US14347127
    • 2012-07-06
    • Yohei MinekawaKenji NakahiraMinoru HaradaTakehiro HiraiRyo Nakagaki
    • Yohei MinekawaKenji NakahiraMinoru HaradaTakehiro HiraiRyo Nakagaki
    • G06K9/00G06T7/00
    • G06T7/0004G06T7/001G06T2207/10061G06T2207/20016G06T2207/30148
    • A method for reviewing defect, comprising the steps of: as an image acquisition step, imaging a surface of a sample using arbitrary image acquisition condition selected from a plurality of image acquisition conditions and obtaining a defect image; as a defect position calculation step, proceeding the defect image obtained by the image acquisition step and calculating a defect position on the surface of the sample; as a defect detection accuracy calculation step, obtaining a defect detection accuracy of the defect position calculated by the defect position calculation step; and as a conclusion determination step, determinating whether the defect detection accuracy obtained by the defect detection accuracy calculation step meets a predetermined requirement or not; wherein until it is determined that the defect detection accuracy obtained by the defect detection accuracy calculation step meets a predetermined in the conclusion determination step, the image acquisition condition is selected from the plurality of image acquisition conditions once again and the image acquisition step, the defect position calculation step, the defect detection accuracy calculation step and the conclusion determination step are repeated.
    • 一种检查缺陷的方法,包括以下步骤:作为图像获取步骤,使用从多个图像获取条件中选择的任意图像获取条件对样本的表面进行成像并获得缺陷图像; 作为缺陷位置计算步骤,进行通过图像获取步骤获得的缺陷图像,并计算样本表面上的缺陷位置; 作为缺陷检测精度计算步骤,获得由缺陷位置计算步骤计算的缺陷位置的缺陷检测精度; 以及作为结论确定步骤,确定由缺陷检测精度计算步骤获得的缺陷检测精度是否满足预定要求; 其中直到确定由缺陷检测精度计算步骤获得的缺陷检测精度在结论确定步骤中达到预定值时,再次从多个图像获取条件中选择图像获取条件,并且图像获取步骤,缺陷 位置计算步骤,重复缺陷检测精度计算步骤和结论确定步骤。