A color measuring system includes a receiving section configured to receive designation of a color group including a plurality of colors, a determining section configured to determine whether a color measured by the color measuring section and a comparison target color in the color group coincide, and a control section configured to, when it is determined that the measured color and the comparison target color coincide, automatically advance a color measuring process to a color measuring process for performing the color measurement for a next color in the color group.

A color measuring system includes a color measuring section configured to perform color measurement, a receiving section configured to receive designation of a color sample book, a selecting section configured to, in response to the color measurement being performed, compare colors of the color sample book and a color measured by the color measuring section and automatically select colors close to the measured color out of the color sample book, and a notifying section configured to notify the selected colors to a user as approximate colors of the measured color.

A spectrometry method used with an apparatus including a spectrometry section, a spectroscopic controller, a spectroscopic image generator, and a display section, the method including generating a teaching-purpose spectroscopic image, generating and displaying a teaching-purpose visualized image, identifying a first teaching area in the teaching-purpose visualized image and generating a first teaching-purpose spectrum, displaying a first icon based on the display color of the first teaching area, accepting teacher data that teaches chromaticity in correspondence with the first icon, generating a conversion rule based on the relationship between the spectrum and the teacher data, generating a measurement-purpose spectrum, and calculating chromaticity based on the conversion rule.

A technology is described for a system for identifying a colorimetric test result from a pathogen test performed on a solid phase substrate. The system can comprise a sensor configured to detect a spectrum of color wavelengths. The system can comprise one or more processors. The one or more processors can be configured to: receive color wavelength data; determine a wavelength threshold for providing a pathogen positive test result; identify whether the color wavelength data meets or exceeds the wavelength threshold for providing a pathogen positive test result; and generate a result indicator indicating either a pathogen positive or pathogen negative test result.

An information processing apparatus includes: a selection unit configured to select, based on a selection criterion, one or more first colorimetric regions in an image to be formed based on image data; an input/output control unit configured to receive a first user input for selecting one or more second colorimetric regions from the one or more first colorimetric regions selected by the selection unit; and a transmission unit configured to transmit a print job including information indicating the one or more second colorimetric regions and the image data, to an image forming apparatus.

The image processing device (during learning) converts RGB color space of an input image and a label image into CIELAB color space and performs learning using a color difference between an inferred image and the label image as an error. The image processing device (during inference) converts RGB color space of an input image into CIELAB color space and creates an inferred image using the CIELAB input image.

The invention relates to a system and a method for ascertaining a color recipe which produces a color product with a specified hue after an application onto a specified substrate using a specified application method. The method has the steps of: a) providing a database with a plurality of data sets, b) specifying a target application method, a target substrate, and a desired target hue by means of a user, c) searching the database using a computer program, and d) when at least one suitable database has been found in step c), displaying the information stored in the at least one data set, said information relating to the color recipe, wherein at least one of the data sets also comprises information on at least one reference hue, a reference application method, and a reference substrate. The reference hue is produced when the color recipe to which information contained in the data set relates is applied onto the reference substrate using the reference application method, and the reference application method differs from the application method to which the information contained in the data set relates and/or the reference substrate differs from the substrate to which information contained in the data set relates.

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.

The present disclosure relates to a method and related system for spectrum optimization of an illumination light source. Spectrum optimization according to the present disclosure can be based on various optimization parameters, including but not limited to luminous efficacy, color rendering effect, luminous efficacy of radiation, mesopic efficacy of radiation, cirtopic efficacy of radiation, etc. The present method and system are capable of optimizing illumination performance of a light source in various aspects in an individual or integrated manner. Further, the present method and system are capable of accommodating different illumination purposes and conditions by combining and prioritizing different optimization parameters.

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.