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ADAPTIVE IMAGE ALIGNMENT USING LOCALLY OPTIMAL TRANSFORMATIONS

机译:使用局部最佳变换的自适应图像对齐

摘要

A method for aligning two different magnified images of the same subject includes a first step of precomputing rigid transformations for the two different images globally (i.e., for all or approximately all regions of the images). Pairs of corresponding features in the two different magnified images are identified and transformation values are assigned to each of the pairs of corresponding features, in a second step, while images are being generated for display to a user, a locally optimal rigid transformation for the current field of view is computed, in a third step the images are aligned as per the locally optimal rigid transformation. Non-zero weight is given to transformation values for pairs of features that are outside the current field of view. Typically, the second and third steps are repeated many times as the images are generated for display and user either changes magnification or pans/navigates to a different location in the images.
机译:一种用于对准同一对象的两个不同的放大图像的方法,包括第一步:针对全局(即,针对图像的所有或几乎所有区域)预先计算两个不同图像的刚性变换。在第二步骤中,在生成图像以显示给用户的同时,识别出两个不同的放大图像中的成对的相应特征,并将变换值分配给成对的相应特征中的每一个,从而将当前的局部最优刚性变换计算视野,在第三步骤中,根据局部最优刚性变换将图像对准。对于当前视场之外的要素对,变换值将赋予非零权重。通常,在生成图像以进行显示时,第二步和第三步会重复很多次,并且用户要么更改放大倍率,要么平移/导航到图像中的其他位置。

著录项

  • 公开/公告号EP3559910A1

    专利类型

  • 公开/公告日2019-10-30

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号EP20180712761

  • 发明设计人 STUMPE MARTIN;GODBOLE VARUN;

    申请日2018-03-06

  • 分类号G06T7/33;

  • 国家 EP

  • 入库时间 2022-08-21 12:27:19

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