Invention Grant
- Patent Title: Synthetic image generation for surface anomaly detection
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Application No.: US16902588Application Date: 2020-06-16
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Publication No.: US11599986B2Publication Date: 2023-03-07
- Inventor: Amir Afrasiabi , William David Kelsey
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: The Boeing Company
- Current Assignee: The Boeing Company
- Current Assignee Address: US IL Chicago
- Agency: Kolitch Romano Dascenzo Gates LLC
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/62 ; G06V10/25

Abstract:
Systems and methods for detecting surface anomalies are disclosed. For example, a computer-implemented method for detecting surface anomalies on an object comprises receiving measured electromagnetic radiation (EMR) profiles for the object, generating synthetic EMR profiles for the object based on the measured EMR profiles, determining whether the object contains a surface anomaly based on the measured EMR profiles and the synthetic EMR profiles, and indicating a surface anomaly to a user via a display when a surface anomaly is detected. In another example, a system comprises a computing device comprising non-transitory memory with computer-readable instructions for receiving unpaired image data of an object of two different image types, predicting missing image data to generate paired image data of the two different image types, and determining whether the object contains a surface anomaly based on the paired image data. The computing device comprises a processor configured to execute the computer-readable instructions.
Public/Granted literature
- US20210390674A1 SYNTHETIC IMAGE GENERATION FOR SURFACE ANOMALY DETECTION Public/Granted day:2021-12-16
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