公开(公告)号：US20130182948A1

公开(公告)日：2013-07-18

申请号：US13733685

申请日：2013-01-03

Applicant: Simon A. Barker ,  Adam Wagman ,  Aaron Wallack ,  David J. Michael

Inventor： Simon A. Barker ,  Adam Wagman ,  Aaron Wallack ,  David J. Michael

IPC: G06K9/62

CPC classification number: G06K9/6256 ,  G06K9/3275 ,  G06K9/6255 ,  G06K9/6857 ,  G06T7/74 ,  G06T2207/20081 ,  G06T2207/30208

Abstract: A method for training a pattern recognition algorithm including the steps of identifying the known location of the pattern that includes repeating elements within a fine resolution image, using the fine resolution image to train a model associated with the fine image, using the model to examine the fine image resolution image to generate a score space, examining the score space to identify a repeating pattern frequency, using a coarse image that is coarser than the finest image resolution image to train a model associated with the coarse image, using the model associated with the coarse image to examine the coarse image thereby generating a location error, comparing the location error to the repeating pattern frequency and determining if the coarse image resolution is suitable for locating the pattern within a fraction of one pitch of the repeating elements.

Abstract translation: 一种用于训练模式识别算法的方法，包括以下步骤：使用所述模型来识别包含精细分辨率图像内的重复元素的图案的已知位置，使用所述精细分辨率图像来训练与所述精细图像相关联的模型， 精细图像分辨率图像以生成分数空间，使用与最粗图像分辨率图像相比较粗糙的图像来检查分数空间以识别重复图案频率，以使用与该图像相关联的模型来训练与粗图像相关联的模型 粗图像以检查粗图像，从而产生位置误差，将位置误差与重复图案频率进行比较，并确定粗图像分辨率是否适于将图案定位在重复元件的一个间距的几分之一内。