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Feature-based detection and context discriminate classification for known image structures

机译:针对已知图像结构的基于特征的检测和上下文区分分类

摘要

A method is provided for the detection and classification of targets in a digital image of a structure having known characteristics. In general, windowed portions of the image are evaluated in context with the entire image and in terms of their location in the image. More specifically, a scoring scheme is used to identify relevant windows with the relevance of each window being evaluated in terms of location in the image and the known characteristics of the structure being imaged. Relevant windows satisfying a threshold criteria are grouped based on their relative location in the image. A group scoring scheme is applied to each group to identify and classify targets.
机译:提供了一种用于在具有已知特征的结构的数字图像中检测和分类目标的方法。通常,根据整个图像以及它们在图像中的位置来评估图像的窗口部分。更具体地,使用计分方案来识别相关窗口,其中根据图像中的位置和正被成像的结构的已知特性来评估每个窗口的相关性。满足阈值标准的相关窗口将根据其在图像中的相对位置进行分组。将组计分方案应用于每个组,以识别和分类目标。

著录项

  • 公开/公告号US6990239B1

    专利类型

  • 公开/公告日2006-01-24

    原文格式PDF

  • 申请/专利权人 SUSAN NELSON;

    申请/专利号US20020197669

  • 发明设计人 SUSAN NELSON;

    申请日2002-07-16

  • 分类号G06K9/00;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 21:41:54

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