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DEVICES, SYSTEMS, AND METHODS FOR TOPOLOGICAL NORMALIZATION FOR ANOMALY DETECTION

机译:用于异常检测的拓扑归一化的设备,系统和方法

摘要

Some embodiments of devices, systems, and methods obtain at least one first image, wherein the at least one first image is defined in an image space; select at least one feature in the at least one first image; define a topology based on the at least one feature; generate a topology mapping between the topology and the image-space topology; obtain a plurality of anomaly scores, wherein each anomaly score of the plurality of anomaly scores was generated based on a respective detection area in a second image; map the plurality of anomaly scores to the topology based on the topology mapping; and normalize each anomaly score in the plurality of anomaly scores based on the respective neighboring anomaly scores in the topology, thereby generating normalized anomaly scores.
机译:设备,系统和方法的一些实施例获得至少一个第一图像,其中,所述至少一个第一图像被定义在图像空间中。在至少一个第一图像中选择至少一个特征;基于至少一个特征定义拓扑;在拓扑和图像空间拓扑之间生成拓扑映射;获得多个异常评分,其中,所述多个异常评分中的每个异常评分是基于第二图像中的各个检测区域生成的;根据所述拓扑映射将所述多个异常分数映射到所述拓扑;并基于所述拓扑中的各个相邻异常分数归一化所述多个异常分数中的每个异常分数,从而生成归一化的异常分数。

著录项

  • 公开/公告号US2020311944A1

    专利类型

  • 公开/公告日2020-10-01

    原文格式PDF

  • 申请/专利权人 CANON VIRGINIA INC.;

    申请/专利号US202016828831

  • 发明设计人 XIWU CAO;BRADLEY SCOTT DENNEY;

    申请日2020-03-24

  • 分类号G06T7/12;G06T7;G06T7/136;G06T7/50;

  • 国家 US

  • 入库时间 2022-08-21 11:22:21

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