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.

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

IPC: G01J3/46 ,  G06T7/11 ,  G06T7/90 ,  G06V10/24 ,  G06V10/74

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.

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

IPC: G01J3/46 ,  G06V10/54 ,  G06V10/56 ,  G06T7/90

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.