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公开(公告)号:US20230145070A1
公开(公告)日:2023-05-11
申请号:US17905062
申请日:2021-02-26
Applicant: BASF COATINGS GMBH
Inventor: Donald R BAUGHMAN , Matthew LEOPOLD , Guido BISCHOFF , Stuart K SCOTT , Jessica J MCGUCKIN
CPC classification number: G01J3/463 , G06T7/11 , G06T7/90 , G06V10/242 , G06V10/761 , G01J2003/466 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084
Abstract: Disclosed herein is a method and a device that can measure an unknown target coating; can search, based on the measured data of the target coating, a database for one or more best matching coating formulas, i.e. one or more preliminary matching formulas, within the database; and that can refine the search using an image similarity metric between images of the one or more best matching coating formulas on the one side and images of the target coating on the other side, using deep learning techniques.
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公开(公告)号:US20220381615A1
公开(公告)日:2022-12-01
申请号:US17755885
申请日:2020-11-12
Applicant: BASF COATINGS GMBH
Inventor: Guido BISCHOFF , Donald R BAUGHMAN , Matthew LEOPOLD , Stuart K SCOTT
Abstract: Disclosed herein is a computer-implemented method, a respective device, and a non-transitory computer-readable medium. The method includes: obtaining color values, texture values and digital images of a target coating, retrieving from a database one or more preliminary matching formulas based on the color and/or texture values obtained for the target coating, determining sparkle points within the respective obtained images and within the respective images associated with the one or more preliminary matching formulas, creating subimages of each sparkle point from the respective images, providing the created subimages to a convolutional neural network, the convolutional neural network being trained to correlate a respective subimage of a respective sparkle point with a pigment and/or pigment class, and determining, based on an output of the neural network, at least one of the one or more preliminary matching formulas as the formula(s) best matching the target coating.
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