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公开(公告)号:US20240095983A1
公开(公告)日:2024-03-21
申请号:US18039898
申请日:2021-12-01
Applicant: AMGEN INC.
Inventor: Al Patrick Goodwin , Joseph Peter Bernacki , Graham F. Milne , Thomas Clark Pearson , Aman Mahendra Jain , Jordan Ray Fine , Kenneth E. Hampshire , Aik Jun Tan , Osvaldo Perez Varela , Nishant Mukesh Gadhvi
Abstract: Various techniques facilitate the development of an image library that can be used to train and/or validate an automated visual inspection (AVI) model, such an AVI neural network for image classification. In one aspect, an arithmetic transposition algorithm is used to generate synthetic images from original images by transposing features (e.g., defects) onto the original images, with pixel-level realism. In other aspects, digital inpainting techniques are used to generate realistic synthetic images from original images. Deep learning-based inpainting techniques may be used to add, remove, and/or modify defects or other depicted features. In still other aspects, quality control techniques are used to assess the suitability of image libraries for training and/or validation of AVI models, and/or to assess whether individual images are suitable for inclusion in such libraries.