公开(公告)号：US20230221182A1

公开(公告)日：2023-07-13

申请号：US17999713

申请日：2021-05-20

Applicant: BASF COATINGS GMBH

Inventor： Donald R. BAUGHMAN ,  Guido BISCHOFF ,  Matthew LEOPOLD ,  Jessica J. MCGUCKIN ,  Stuart K. SCOTT

IPC: G01J3/46 ,  G06V10/764 ,  G06V10/44 ,  G06T7/10

CPC classification number: G01J3/463 ,  G06V10/764 ,  G06V10/443 ,  G06T7/10 ,  G06T2207/20084 ,  G06T2207/20081

Abstract: Described herein is a computer-implemented method. The method includes: providing digital images and respective formulas for coating compositions with known pigments and/or pigment classes associated with the respective digital images, classifying, using an image annotation tool, for each digital image, each pixel, by visually reviewing the respective digital image pixel-wise, providing, for each digital image, an associated pixel-wise annotated image, training a first neural network with the provided digital images as input and the associated pixel-wise annotated images as output, making the trained first neural network available for applying the trained first neural network to at least one unknown input image of a target coating and for assigning a pigment label and/or a pigment class label to each pixel in the at least one unknown input image, and determining and/or outputting, for each unknown input image, a statistic of corresponding identified pigments and/or pigment classes, respectively.