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METHOD FOR AUTOMATED UNSUPERVISED ONTOLOGICAL INVESTIGATION OF STRUCTURAL APPEARANCES IN ELECTRON MICROGRAPHS

机译:电子显微照片中结构外观的自动化无监督本体主义的方法

摘要

The method is for dividing dark objects, substructures and background of an image from an electron microscope into segments by analysing pixel values. The segments are transformed and aligned so that the transformed objects, sub-structures and background are meaningfully comparable. The transformed segments are clustered into classes which are used for ontological investigation of samples that are visualized by using electron microscopy. A triangle inequality comparison can be used to further cluster groups of objects to transfer understanding from different interactions between objects and to associate interactions with each other.
机译:该方法用于通过分析像素值将图像的暗对象,子结构和背景从电子显微镜中分成段。 段被转换并对齐,使得变换的对象,子结构和背景有意义地进行比较。 将转化的段聚集成类别,用于通过使用电子显微镜观察的样品的本体学研究。 三角形不等式比较可以用于进一步群集对象组,以从对象之间的不同交互传输理解并彼此关联交互。

著录项

  • 公开/公告号US2021286969A1

    专利类型

  • 公开/公告日2021-09-16

    原文格式PDF

  • 申请/专利权人 INTELLIGENT VIRUS IMAGING INC.;

    申请/专利号US201816326359

  • 发明设计人 MARTIN RYNER;

    申请日2018-07-02

  • 分类号G06K9;G06K9/46;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 21:05:03

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