Abstract: Systems and methods for a sample database are provided, where the sample database is for matching a target coating. In one embodiment, the system comprises a sample database stored on a storage device. The sample database includes a sample coating formula and a sample image feature with at least one sample coating formula linked to at least one sample image feature. At least one sample image feature includes a spatial micro-color analysis that includes a value determined by a sample pixel feature difference between at least two sample pixels.

Abstract: Systems and methods for a sample database are provided, where the sample database is for matching a target coating. In one embodiment, the system comprises a sample database stored on a storage device. The sample database includes a sample coating formula and a sample image feature with at least one sample coating formula linked to at least one sample image feature. At least one sample image feature includes a spatial micro-color analysis that includes a value determined by a sample pixel feature difference between at least two sample pixels.

Abstract: Systems and methods for determining a matting agent level for a clearcoat formulation for repairing an object are disclosed. The method comprises the following steps: a) providing a database with multiple datasets, each dataset including a first gloss level value of a sample coating determined at a first measurement geometry and a matting agent level; b) determining a second gloss level value of the sample coating with a measurement arrangement at a second measurement geometry; c) associating the second gloss level value to the dataset of the sample coating; d) determining a third gloss level value of a target coating with the measurement arrangement at the second measurement geometry; e) selecting, from the database, a target dataset with a second gloss level value that is closest to the third gloss level value; and f) determining, from the target dataset, the matting agent level for the clearcoat formulation.

Abstract: Processor implemented systems and methods for matching color and appearance of a target coating are provided herein. A system includes a storage device for storing instructions, and one or more data processors. The data processor(s) are configured to execute instructions to receive a target image of a target coating. The data processor(s) are also configured to apply a feature extraction analysis process that divides the target image into a plurality of target pixels for image analysis.

Abstract: Processor implemented systems and methods for matching color and appearance of a target coating are provided herein. A system includes a storage device for storing instructions, and one or more data processors. The data processor(s) are configured to execute instructions to receive a target image of a target coating. The data processor(s) are also configured to apply a feature extraction analysis process that divides the target image into a plurality of target pixels for image analysis.

Abstract: Systems and methods for a sample database are provided, where the sample database is for matching a target coating. In one embodiment, the system comprises a sample database stored on a storage device. The sample database includes a sample coating formula and a sample image feature with at least one sample coating formula linked to at least one sample image feature. At least one sample image feature includes a spatial micro-color analysis that includes a value determined by a sample pixel feature difference between at least two sample pixels.

Abstract: A system for measuring the reflectivity of a painted object includes an electromagnetic wave source that emits an electromagnetic wave, a panel that holds the painted object, with the panel being movable to adjust an incident angle of the electromagnetic wave onto the panel, a reflector to receive and direct electromagnetic waves that are reflected by the painted object towards the reflector, a detector to detect an intensity of electromagnetic waves, and a control unit. The control unit is communicatively connected to the panel and to the detector. The control unit determines the incident angle of the electromagnetic wave, receives the intensity of the electromagnetic wave detected by the detector, and determines the reflectivity of the painted object as a function of the intensity of the electromagnetic wave detected by the detector over a predetermined range of incident angle values.

Abstract: A system for measuring the reflectivity of a painted object includes an electromagnetic wave source that emits an electromagnetic wave, a panel that holds the painted object, with the panel being movable to adjust an incident angle of the electromagnetic wave onto the panel, a reflector to receive and direct electromagnetic waves that are reflected by the painted object towards the reflector, a detector to detect an intensity of electromagnetic waves, and a control unit. The control unit is communicatively connected to the panel and to the detector. The control unit determines the incident angle of the electromagnetic wave, receives the intensity of the electromagnetic wave detected by the detector, and determines the reflectivity of the painted object as a function of the intensity of the electromagnetic wave detected by the detector over a predetermined range of incident angle values.