US 11,756,185 B2
Product defect detection
Guo Qiang Hu, Shanghai (CN); Jun Chi Yan, Shanghai (CN); Jun Zhu, Shanghai (CN); Jing Chang Huang, Shanghai (CN); and Peng Ji, Nanjing (CN)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 23, 2020, as Appl. No. 17/131,936.
Application 17/131,936 is a continuation of application No. 16/248,114, filed on Jan. 15, 2019, granted, now 10,964,015.
Prior Publication US 2021/0110525 A1, Apr. 15, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06T 7/37 (2017.01); G01N 21/88 (2006.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01)
CPC G06T 7/001 (2013.01) [G01N 21/8851 (2013.01); G06T 7/37 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G01N 2021/8887 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
iteratively employing, by a device operatively coupled to a processor, a random number generator to randomly generate respective random transformation parameters to be employed by a geometric transformation module to geometrically transform a template image of a defined product; and
iteratively generating, by the device, respective geometric training parameters for transforming the template image, wherein the respective geometric training parameters are based on the respective random transformation parameters.