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. 20, 2020

Filed:

May. 24, 2016
Applicant:

Hitachi High-technologies Corporation, Tokyo, JP;

Inventors:

Naoaki Kondo, Tokyo, JP;

Takehiro Hirai, Tokyo, JP;

Minoru Harada, Tokyo, JP;

Yuji Takagi, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G01N 23/225 (2018.01); G06K 9/62 (2006.01); G06K 9/42 (2006.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G01N 23/225 (2013.01); G06K 9/42 (2013.01); G06K 9/627 (2013.01); G06K 9/6255 (2013.01); G06K 9/6262 (2013.01); G01N 2223/401 (2013.01); G01N 2223/6116 (2013.01); G06T 2207/10061 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30148 (2013.01);
Abstract

Provided is a defect classification apparatus classifying images of defects of a sample included in images obtained by capturing the sample, the apparatus including an image storage unit for storing the images of the sample acquired by an external image acquisition unit, a defect class storage unit for storing types of defects included in the images of the sample, an image processing unit for extracting images of defects from the images from the sample, processing the extracted images of defects and generating a plurality of defect images, a classifier learning unit for learning a defect classifier using the images of defects of the sample extracted by the image processing unit and data of the plurality of generated defect images, and a defect classification unit for processing the images of the sample by using the classifier learned by the classifier learning unit, to classify the images of defects of the sample.


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