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公开(公告)号:US20240020944A1
公开(公告)日:2024-01-18
申请号:US17867173
申请日:2022-07-18
Inventor: Ramdas KRISHNAKUMAR , Ariel BECK , Zong Sheng TANG , Khai Jun KEK , Satyam SATYAM , Masahiro ISHII , Yuto KITAGAWA
IPC: G06V10/72 , G06V10/762 , G06V10/764 , G06V10/74 , G06V10/98
CPC classification number: G06V10/72 , G06V10/762 , G06V10/764 , G06V10/761 , G06V10/993
Abstract: A method and system for sampling and augmenting a dataset associated with a first class and a second class, respectively, to balance the dataset of images is described. The method includes receiving a required number of reduced set of dataset images associated with the first class, creating a plurality of clusters from a set of images associated with the first class, and selecting a representative image from each cluster to provide a reduced set of images. Further, a median image and a non-defect artifact mask is generated corresponding to the set of images associated with the first class. Additionally, a defect foreground is extracted based on the median image and each defect image of another set of images associated with the second class. Finally, the at least one non-defect artifact is removed from the defect foreground to provide a new synthetic defect image for each defect image for augmentation.