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US 2024/0404089 A1Published application
Systems and methods for matching color and appearance of target coatings
AssigneeAxalta Coating Systems IP Co., LLC
InventorsLarry E. Steenhoek, Dominic V. Poerio
Life of this patent
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Abstract
A system and method include receiving target image data associated with a target coating. A texture feature extraction analysis process is applied to the target image data to determine a target texture image feature. A machine learning model identifies one or more texture features for matching to a target coating.
Claims20
A system for matching texture of a target coating comprising:
- a storage device for storing instructions;
- one or more data processors configured to execute instructions to:
- receive a target image of the target coating, wherein the target image comprises target image data;
- apply a texture feature extraction analysis process to the target image data to determine target image texture features, wherein the texture feature extraction analysis process includes determining distribution of particle sizes within sub-images of the target image, wherein a data spread statistical measure and a center statistical measure are determined to indicate the distribution of particle sizes within the sub-images;
- wherein cumulative distributions are generated to determine the distribution of the particle sizes across the sub-images;
- determine target image texture features for the sub-images, and
- apply a machine learning model to match texture features present in the target coating using the determined target image texture features and the generated cumulative distributions of the particle sizes across the sub-images.
4 more elements
A method for matching texture of a target coating comprising:
- receiving, by one or more data processors, a target image of the target coating, wherein the target image comprises target image data;
- applying, by the one or more data processors, a texture feature extraction analysis process to the target image data to determine target image texture features, wherein the texture feature extraction analysis process includes determining distribution of particle sizes within sub-images of the target image, wherein a data spread statistical measure and a center statistical measure are determined to indicate the distribution of particle sizes within the sub-images;
- wherein cumulative distributions are generated to determine the distribution of the particle sizes across the sub-images;
- determining, by the one or more data processors, target image texture features for the sub-images, and
- applying, by the one or more data processors, a machine learning model to match texture features present in the target coating using the determined target image texture features and the generated cumulative distributions of the particle sizes across the sub-images.
2 more elements
Dependencies are inferred from the claim text.