The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 04, 2020

Filed:

Mar. 20, 2018
Applicant:

Kla-tencor Corporation, Milpitas, CA (US);

Inventors:

Thanh Huy Ha, Milpitas, CA (US);

Scott A. Young, Soquel, CA (US);

Mohan Mahadevan, Livermore, CA (US);

Assignee:

KLA-Tencor Corp., Milpitas, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/30 (2017.01); G06K 9/62 (2006.01); H01J 37/26 (2006.01); G06F 30/00 (2020.01);
U.S. Cl.
CPC ...
G06T 7/30 (2017.01); G06F 30/00 (2020.01); G06K 9/6203 (2013.01); G06K 9/6247 (2013.01); G06K 9/6267 (2013.01); H01J 37/26 (2013.01); G06K 9/629 (2013.01); G06T 2207/10061 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30148 (2013.01); H01J 2237/22 (2013.01); H01J 2237/2801 (2013.01);
Abstract

Methods and systems for aligning images for a specimen acquired with different modalities are provided. One method includes acquiring information for a specimen that includes at least first and second images for the specimen. The first image is acquired with a first modality different than a second modality used to acquire the second image. The method also includes inputting the information into a learning based model. The learning based model is included in one or more components executed by one or more computer systems. The learning based model is configured for transforming one or more of the at least first and second images to thereby render the at least the first and second images into a common space. In addition, the method includes aligning the at least the first and second images using results of the transforming. The method may also include generating an alignment metric using a classifier.


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