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:
Dec. 24, 2024

Filed:

Feb. 10, 2022
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Doyoung Yoon, Seoul, KR;

Junghoon Kim, Seoul, KR;

Ilsuk Park, Hwaseong-si, KR;

Kwangil Shin, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 10/14 (2022.01); G06V 10/22 (2022.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G06V 10/14 (2022.01); G06V 10/22 (2022.01); G06T 2207/10061 (2013.01); G06T 2207/30148 (2013.01);
Abstract

A substrate inspection method includes: (i) acquiring a plurality of defect of interest (DOI) images of a substrate having a DOI, under a corresponding plurality of different optical conditions, (ii) acquiring a plurality of DOI difference images from differences between the plurality of DOI images and a reference image, and (iii) acquiring a plurality of DOI difference-of-difference (DOD) images from differences between the plurality of DOI difference images. The method also includes setting two optical conditions corresponding to a DOI DOD image having the highest signal-to-noise ratio (SNR) among the plurality of DOI DOD images, as a first optical condition and a second optical condition, and acquiring a first image of the substrate under the first optical condition and a second image of the substrate under the second optical condition. A first difference image is also acquired, which is a difference between the first image and the reference image, and a second difference image is acquired, which is a difference between the second image and the reference image. A DOD image is acquired that is a difference between the first difference image and the second difference image. A low-SNR defect candidate region is then detected from the first difference image, the second difference image, and the DOD image.


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