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:
Oct. 11, 2022

Filed:

Sep. 17, 2019
Applicant:

Kla Corporation, Milpitas, CA (US);

Inventors:

Ramaprasad Kulkarni, Milpitas, CA (US);

Ge Cong, Pleasanton, CA (US);

Hawren Fang, San Jose, CA (US);

Assignee:

KLA Corporation, Milpitas, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 20/00 (2019.01); G06T 7/62 (2017.01); G06K 9/62 (2022.01); G06T 3/40 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G06K 9/627 (2013.01); G06K 9/628 (2013.01); G06N 20/00 (2019.01); G06T 3/40 (2013.01); G06T 5/003 (2013.01); G06T 7/62 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A system for characterizing a specimen is disclosed. In one embodiment, the system includes a controller configured to: receive training images of one or more defects of the specimen; generate a machine learning classifier based on the training images; receive product images of one or more defects of a specimen; determine one or more defect type classifications of one or more defects with the machine learning classifier; filter the product images with one or more smoothing filters; perform binarization processes to generate binarized product images; perform morphological image processing operations on the binarized product images; determine one or more algorithm-estimated defect sizes of the one or more defects based on the binarized product images; and determine one or more refined estimates of one or more defect sizes of the one or more defects based on the one or more algorithm-estimated defect sizes and the one or more defect type classifications.


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