In some examples, a method includes using at least one processor, accessing image data representing an image of a face of a user, identifying a facial feature of the user using the image data, using the at least one processor, automatically matching the facial feature to a matched pattern of a plurality of patterns, based on configured pattern lookup rules, identifying a product depiction, from a plurality of product depictions stored in product database, based on the matched pattern of the plurality of patterns, and causing display of the product depiction on a user interface.

A dyeing color matching method and system based on a preference genetic algorithm includes: obtaining a reflectivity of a color scheme sample and a first color scheme set having N color schemes; initializing the first color scheme set using a preference genetic algorithm to obtain an initialized color scheme set; conducting crossover and mutation on any two color schemes in the initialized set to obtain a second color scheme set having 2N color schemes; substituting the color schemes in the second set into the conventional model to obtain 2N model reflectivities; determining a third color scheme set according to the 2N model reflectivities; determining whether a color scheme that satisfies a customer's requirement exists in the third set; if yes, conducting proofing on the color scheme to obtain a proofing color scheme set; and determining a color scheme with a minimum color difference according to the proof color scheme.

A food monitoring assembly includes at least one color sensor (36) for measuring a color of a food product (30). A RFID tag reader (42) is configured to identify a RFID tag (40) in the vicinity of the RFID tag reader. A controller (50) is in electrical communication with the color sensor (36) and the RFID tag reader (42) and is configured to identify a type of the food product and determine if the color of the food product is within a predetermined color range. A communicator (58) is in electrical communication with the controller (50) for communication with a remote location.

The present invention relates to a measurement or inspection apparatus which can be adjusted depending on a color of a plugged-in cable. In this manner the display of measurement values and the colour of the plugged-in cable can be coordinated to each other such that a simple assignment between measurement values and cable can be performed.

Described herein is a process for correcting an observed color difference between a color at a first gloss and the color at a second gloss different than the first gloss, said process comprising the steps of: (a) determining a first correction caused by a lightness (Y-value) of the color a first gloss; (b) determining a second correction caused by an inclusion of a first surface diffusion in gloss readings; (c) based on the first and second corrections, determining a specular correction caused by a difference in specular reflections from the color at the first gloss and the color at the second gloss; (d) determining tristimulus corrections based on the specular correction; (e) preparing corrected tristimulus values of the color at a second gloss; and (f) producing a paint composition for the color at the second gloss using the corrected tristimulus values.

In one embodiment, a method is disclosed that includes selecting a first color sample within a target area in a first image of a first object displayed by a display device; selecting a second color sample within a target area in a second image of a second object displayed in the display device; comparing the first color sample against the second color sample to determine a measure of color difference or a measure of color equivalence between the first color sample of the first object and the second color sample of the second object; and displaying the results of the comparison to a user in the display device. One or more of these functions may be performed with a processor.

A system and method include receiving target image data associated with a target coating. A feature extraction analysis process is applied to the target image data to determine a target image feature. The feature extraction analysis process includes dividing the target image into sub-images which contains a plurality of target pixels. A machine learning model identifies one or more types of flakes present in the target coating using target pixel features.

In one embodiment, a method is disclosed that includes selecting a first color sample within a target area in a first image of a first object displayed by a display device; selecting a second color sample within a target area in a second image of a second object displayed in the display device; comparing the first color sample against the second color sample to determine a measure of color difference or a measure of color equivalence between the first color sample of the first object and the second color sample of the second object; and displaying the results of the comparison to a user in the display device. One or more of these functions may be performed with a processor.

A method for constructing a meshed model and a discrete chromatography of eight primary color HSB color space is provided. By a meshed digital model and a discrete algorithm of color space, the color value and the color distribution in any point, line, surface and space area in the HSB color space can be quickly obtained based on color values of eight primary colors and coordinate values of mesh points in the HSB color space, thereby (i) realizing the full color gamut discrete chromatography of the HSB color space, (ii) realizing the visualization of the full color gamut of the color space, and (iii) improving the work efficiency of color matching.

Various embodiments described herein provide for a method that comprises: accessing an image representing a face of a user; identifying a base color of the user's face based on the image; matching the base color of the user's face to a color palette based on configured color lookup rules; identifying a product depiction, from a plurality of product depictions stored at an ecommerce server, based on a color of the product being included in the color palette; and causing the display of the product depiction on a user interface.