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:
Mar. 22, 2022

Filed:

Mar. 18, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Dechao Guo, Niskayuna, NY (US);

Liying Jiang, Guilderland, NY (US);

Derrick Liu, Albany, NY (US);

Jingyun Zhang, Albany, NY (US);

Huimei Zhou, Albany, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 20/00 (2019.01); G06K 9/62 (2022.01); G06V 10/44 (2022.01); G06K 9/00 (2022.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G06K 9/6284 (2013.01); G06N 20/00 (2019.01); G06V 10/443 (2022.01); G06F 16/285 (2019.01); G06K 9/00536 (2013.01);
Abstract

An aspect of the invention includes reading a scale in image data representing an image of physical characteristics and resizing at least a portion of the image data to align with target image data representing a target image based at least in part on the scale to form resized image data representing one or more resized images. Noise reduction is applied to the resized image data to produce test image data representing one or more test images. A best fit analysis is performed on the test image data with respect to the target image data. Test image data having the best fit are stored with training image data representing classification training images indicative of one or more recognized features. An anomaly in unclassified image data representing an unclassified image is identified based at least in part on an anomaly detector as trained using the classification training images.


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