Identification of Effect Pigments in a Target Coating

• Main Authors: LEOPOLD, Matthew, SCOTT, Stuart K, BAUGHMAN, Donald R, MCGUCKIN, Jessica J, BISCHOFF, Guido
• Format: Patent
• Language: English
• Published: 13.07.2023
• Subjects: CALCULATING; COLORIMETRY; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT; MEASURING; PHYSICS; RADIATION PYROMETRY; TESTING

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.