121results about "Color matching" patented technology

A computing system and related method for evaluating and matching a colored flickering appearance of a coating comprising at least one effect pigment type is disclosed. The method processes a digital image of a coating sample to obtain pixel-specific flicker point data and pixel-specific background data, both of which are formatted according to an advanced color appearance model corresponding to human color perception. A colored flicker visual scale value is calculated from pixel-specific data, wherein the visual scale value is indicative of a colored flicker characteristic of the coating sample. The visual scale value of the coating sample is compared to the visual scale value of a previously characterized candidate coating sample. The comparison result is used to determine a degree of matching between the candidate coating sample and the coating sample (in terms of colored flicker characteristics).

The present invention refers to a method and a device that can measure an unknown target coating, can search, based on the measured data of the target coating, a database for one or more best matching coating formulas, i.e. one or more preliminary matching formulas, within the database and that can refine the search using an image similarity metric between images of the one or more best matching coating formulas on the one side and images of the target coating on the other side, using deep learning techniques.

The present invention relates to a method for predicting a dry paint color value from a liquid paint color value, and, when producing a second liquid film having the same component as a first liquid film, a process for producing a second dry film by drying and curing the second liquid film can be skipped, and a reflection rate of the second dry film can be predicted according to the prediction method according to the present invention.

In order to assess the quality of an elongate textile body, such as a yarn precursor or a yarn, the textile body (52) is run past a sensor head (12, 18, 24, 30; 44). At a first plurality of times, body parameters of the textile body (52) are measured. The parameters can include color components and / or other parameters, such as the thickness of the textile body (52). Principal component analysis is used to scale deviations in parameter space to make the quality assessment more robust.

A handheld portable spraying system includes a fluid source having a plurality of different fluids and a fluid container configured to separately contain the plurality of different fluids. The handheld portable spraying system also includes a fluid pathway configured to carry the plurality of different fluids from the fluid source through an outlet of the handheld portable spraying system, and a fluid conveyance system configured to cause the plurality of different fluids to flow along the fluid pathway. The handheld portable spraying system further includes a controller configured to generate a control signal to control the flow of the plurality of different fluids along the fluid pathway.

　An image capturing device and a sensing protection device are provided. The image capturing device includes a light source configured to emit lights on a skin, an image sensor configured to obtain an image of the skin from lights reflected from the skin, a sensing protection device, which is an attachable and detachable, configured to surround the light source and the image sensor and includes a connection unit configured to be attached to and detached from the image capturing device, and a controller configured to process characteristics of the skin based on the obtained image.

Method for generating a total agreement metric for matching the color and appearance of a target coating and at least one sample coating, wherein the method comprises the steps of: A1) Obtaining target color data of the target coating and pattern color data of the pattern coating generated by a pattern coating composition, wherein the target color data includes target color values ​​measured at three or more color viewing angles and the pattern color data includes pattern color values ​​measured at the three or more color viewing angles; A2) Generating color difference values ​​(ΔE) at each of the color viewing angles, based on the target color data and the pattern color data values ​​at each of the color viewing angles; A3) Obtaining target sparkle data of the target coating and pattern sparkle data of the pattern coating, wherein the target sparkle data includes target sparkle values ​​measured at one or more sparkle viewing angles and the pattern sparkle data includes pattern sparkle values ​​measured at one or more sparkle viewing angles; A4) Generating Sparkle Difference Values ​​(ΔS) at each of the Sparkle viewing angles, based on the target Sparkle data and the pattern Sparkle data at each of the Sparkle viewing angles; A5) Generating target Flop data (f) of the target coating, based on a target brightness value derived from the target color data and pattern Flop data (f s ) the pattern coating, based on a pattern brightness value derived from the pattern color data; A6) Generating a Flop difference value (Δf) based on the target Flop data (f) and the pattern Flop data (f s); and A7) Generating the Total Match Metric (TMM) of the target coating and the sample coating, based on the colour difference values ​​(ΔE), the sparkle difference values ​​(ΔS) and the flop difference value (Δf).

Image processing apparatuses, image processing methods, measurement devices, measurement methods, and storage mediums are provided herein. One or more image processing apparatuses measure a patch on metallic paper using a measurement unit that measures only diffuse light in a specific direction by placing a diffusion sheet that converts a strong directional component of light into a diffuse component between the metallic paper and the measurement unit.

Conventionally, measuring instruments with optical geometry conditions of 0 / 45 or 45 / 0 could not accurately measure patches recorded on metallic paper. [Solution] By placing a diffusion sheet between the metallic paper to be measured and the measuring means, the strong directional component of light is converted into a diffuse component, allowing even a measuring means that measures only diffuse light in a specific direction to measure patches on the metallic paper.

A system and method is provided for hair dye color conversion. The system and method duplicates a resultant hair color from a hair dye color mixture that was created using hair dye colors of a first hair dye color line using a different hair dye color mixture that was created using hair dye colors of a second hair dye color line. The system and method applies a modified Kubelka-Munk transformation of RGB values to the mathematical RGB data of the multiple hair dye colors for the first manufacturer color line, multiplies the modified KM transformed values of the multiple hair dye colors for the first manufacturer color line by their respective percentages and then summing them, and retransforms the summed modified KM transformed values of the multiple hair dye colors back into mathematical RGB values in the original RGB color space.

A method of tinting liquids in an industrial mixing system. A color measurement unit receives a liquid batch sample and measures the sample to generate a color measurement value. A color digitization processor receives the color measurement value and executes an artificial intelligence (AI) tinting prediction engine. The AI tinting prediction engine stores the color measurement value in a database, which contains a plurality of historical batch sample color information, a plurality of target standard sample color measurement values, and a plurality of colorant information. The AI tinting prediction engine then defines delta errors between the color measurement value and a target standard sample measurement value. The AI tinting prediction engine then generates predicted colorants and colorant masses based on the delta errors and information stored within the database. The predicted colorants are then transmitted to the mixing system and mixed into the liquid batch.

To provide manufacturing information for manufacturing a color-producing material for providing colors in consideration of color vision diversity.SOLUTION: In an information presentation system 1, a color conversion system comprises: an acquisition unit that acquires information about a reference spectrum of a reference color-producing material that serves as a reference; a response calculation unit that, on the basis of the reference spectrum, calculates a matching spectrum for causing a response in a subject that coincides with or approximates a response from the color vision system of a reference color vision person who has visually recognized the reference color-producing material; and a memory that stores information about a plurality of raw material spectra corresponding respectively to a plurality of raw material color-producing materials to be mixed, and a material selection system comprises: a selection unit that uses information about the matching spectrum and the information about the plurality of raw material spectra to select, from among the plurality of raw material color-producing materials, a plurality of mixed materials that emit a spectrum that coincides with or approximates the matching spectrum when mixed; and a presentation unit that presents information for identifying the plurality of mixed materials.SELECTED DRAWING: Figure 1

The embodiment of the invention provides an extrapolation method and device for the reflectivity of a colorimeter, the ratio of the reference light intensity to the measurement light intensity can be calculated to obtain the reflectivity, window data collection is carried out on the reflectivity obtained through calculation, and therefore a fitting error function can be created according to model parameters, and the reflectivity of the colorimeter can be obtained. And screening the plurality of candidate models according to the fitting error function to obtain a plurality of target models, adaptively adjusting the size of a preset window according to the plurality of target models, and finally calculating to obtain the tristimulus value of the color, thereby improving the consistency of measurement through a local adaptive mechanism while maintaining the smoothness of the spectrum curve, and improving the accuracy of the measurement. And the physical rationality of data is ensured.

Method for the determination of the colours of a material, in which an approach of linear computation of the tristimulus values is used in order to correct the errors or the deviations from the standard on the amounts ΔX of red light, ΔY of green light and ΔZ of blue light obtained with the nonlinear computation.

Methods and software applications for transmitting high-resolution spectral curve data to a tinter for generating a tint formula usable to custom-tint a base paint or coating to match the color of a sensed surface. The high-resolution spectral curve data is derived from low-resolution or wideband spectral data obtained via a low resolution or wideband spectrophotometer. Additional user information, order information, or location information may be transmitted to the tinter.

A colorimetric compliance control device includes a electronic communication device, a non-transitory computer readable medium, an electronic controller. The electronic communication device is programmed to electronically receive colorimetric information regarding a vehicle component. The non-transitory computer readable medium electronically stores a non-transitory computer learning model using the colorimetric information acquired by the detector as a first input. The non-transitory computer learning model generates a colorimetric value as an output value related to the colorimetric information. The electronic controller is programmed to compare the output value with a predetermined exemplary value. The electronic controller is programmed to determine when the output value deviates from the predetermined exemplary value.

According to one embodiment of the present disclosure, an operation method of a color mixing device includes: determining an area including a color value of a target color from one or more areas included in a color space based on the color value of the target color; generating one or more samples based on the color value of the target color; selecting a deep learning model for the determined region from a plurality of pre-learned AI models; and determining, from among the samples, a sample that constitutes the optimal mixing conditions of the color value of the target color using the selected AI model. The plurality of AI models are learned based on a learning-specific data set in which a mixing ratio of each of the one or more reference colors is arbitrarily set.

Disclosed herein are a system and method for managing color matching for a project of a customer. In one aspect, the method comprises, defining a coloring project using a graph structure, receiving input user data for the coloring project, organizing elements of the coloring project using the graph structure, selecting a target color for each element or group of elements, for each element or group of elements, finding a respective paint that has a color matching the selected target color of the element or group of elements, after the selected paint is applied to the element or group of elements, comparing the paint applied to the element or group of elements with the respective target color, and making an adjustment to the selection when further optimization of the selection of the paint is needed based on the comparison.

Disclosed herein is a computer-implemented method for a color matching process where an offset is determined that is relieved of an application process bias. Further disclosed herein is a respective system.

We provide a color control system for 4-color field jet dyeing. [Solution] The system searches for whether there are pre-color parameters corresponding to the fabric parameters and the color of the sample fabric. If there are no pre-color parameters, it generates temporary pre-color parameters based on the fabric parameters and the color of the sample fabric, and uses these temporary pre-color parameters as reference sample parameters. These reference sample parameters generate field jet dyeing parameters, and the fabric is dyed. If there are pre-color parameters, the system uses the pre-color parameters in the field jet dyeing database as reference sample parameters, and generates field jet dyeing parameters based on these reference sample parameters, and the fabric is dyed.

The present invention provides a test strip fixture, comprising: a mobile device having a camera configured for use in a method for determining a concentration of an analyte in a bodily fluid by using the mobile device having a camera, the method comprising capturing at least one image with the camera including at least a portion of an optical test strip and at least a portion of the test strip retaining device, the optical test strip having a sample of the bodily fluid applied onto a reagent test area of ​​the optical test strip, the image including at least a portion of the reagent test area onto which the sample of the bodily fluid has been applied, and the image including at least a portion of a top surface of the test strip retaining device; a) an essentially planar shape; b) a cutout portion; c) a top surface including a plurality of color reference fields with known reference color values, including gray reference fields locally arranged around the cutout and around at least a portion of the non-gray color reference fields, and including position detection code elements; d) a lower surface comprising a fastening element for detachable connection of an optical test strip to said test strip fastening device such that a reagent testing area can be aligned with the notch; The present invention relates to a test strip fixing device comprising:

The present invention refers to a computer-implemented method for providing application adaption parameters (105) to compensate for an influence of a given target paint application process on a color matching method and / or to consider an influence of a given target paint application process within a color predicting method.

A system and method is provided for hair dye color conversion. The system and method duplicates a resultant hair color from a hair dye color mixture that was created using hair dye colors of a first hair dye color line using a different hair dye color mixture that was created using hair dye colors of a second hair dye color line. The system and method applies a modified Kubelka-Munk transformation of RGB values to the mathematical RGB data of the multiple hair dye colors for the first manufacturer color line, multiplies the modified KM transformed values of the multiple hair dye colors for the first manufacturer color line by their respective percentages and then summing them, and retransforms the summed modified KM transformed values of the multiple hair dye colors back into mathematical RGB values in the original RGB color space.

A method for illumination of an object to be observed to be observed and the background, the method comprising the steps of: obtaining a relationship between wavelength and spectral radiance of the object while the object and the background are illuminated by a first light source that emits light that has a continuous spectrum in the wavelength range from 380 nanometers and 780 nanometers, and determining a value of representative wavelength that corresponds to a maximum value of the spectral radiance of the object plotted against wavelength or values of representative wavelength that correspond to maximum values of the spectral radiance of the object plotted against wavelength; determining a value or values of comparative wavelength; and illuminating the object and the background with light of the value or values of representative wavelength and light of the value or values of comparative wavelength.

A method of tinting liquids in an industrial mixing system. A color measurement unit receives a liquid batch sample and measures the sample to generate a color measurement value. A color digitization processor receives the color measurement value and executes an artificial intelligence (AI) tinting prediction engine. The Al tinting prediction engine stores the color measurement value in a database, which contains a plurality of historical batch sample color information, a plurality of target standard sample color measurement values, and a plurality of colorant information. The Al tinting prediction engine then defines delta errors between the color measurement value and a target standard sample measurement value. The Al tinting prediction engine then generates predicted colorants and colorant masses based on the delta errors and information stored within the database. The predicted colorants are then transmitted to the mixing system and mixed into the liquid batch.

Glasses are used to determine a color of each position of a face of a user by a computer system based on first image data (with-glasses face image) obtained by capturing an image of the user wearing the glasses, and second image data (no-glasses face image) obtained by capturing an image of the user without the glasses. The glasses include a position determination marker at a predetermined position and has a predetermined color (color pattern) at a predetermined position. The computer system determines the color of each position of the face of the user based on the first image data and the second image data using the marker and the color.

A computer system and associated methodology for evaluating and adjusting the colored sparkle of coatings containing at least one effect pigment type are disclosed. The method processes a digital image of a coating sample to obtain pixel-specific sparkle data and pixel-specific background data, both formatted according to an advanced color representation model that corresponds to human color perception. A visual scale value for colored sparkle is calculated from the pixel-specific data, with the visual scale value indicating colored sparkle properties of the coating sample. The visual scale value of the coating sample is compared to the visual scale value of a previously characterized coating sample.The results of the comparison are used to determine how well the coating candidate matches the coating sample (in terms of color gloss characteristics).

A data analysis method for optimization of aluminum anodizing and dyeing process acquires a plurality of sample data groups, each sample data groups comprising dyeing result data and parameter data of multiple processing parameters. Contribution value of each processing parameter data relative to the dyeing result data in each of the plurality of sample data groups is determined, and the contribution values are used to determine at least one essential processing parameter. The essential processing parameters are then adjusted according to a data analysis result for improving quality of products. A computing device and storage medium are also provided.

The embodiment of the invention discloses a light source color calibration method and system for an aerosol supply device. The method comprises the following steps: detecting an actual RGB display value when a light source of the aerosol supply device emits light; and when a display error exists between the actual RGB display value and a preset standard RGB display value, adjusting RGB channel data of a light source of the aerosol supply device until the re-detected actual RGB display value is matched with the standard RGB display value. According to the scheme, on the premise that additional chips and circuit design do not need to be added, color calibration of the light source color of the aerosol supply device is achieved, and color deviation caused by substandard current precision when the light source of the aerosol supply device emits light can be avoided; and color deviation caused by interference caused by the color of the device shell when the light source of the aerosol supply device emits light can be avoided, and meanwhile, the cost of hardware products cannot be increased.

Aspects described herein generally relate to methods and systems for matching the color of a sample coating to the color of a reference coating. More specifically, aspects described herein relate to methods and systems for determining an adapted modified sample coating formulation that adequately matches the color of a reference coating when applied onto a substrate by determining adjusted optical data for each color component present in the sample coating formulation and using the adjusted optical data to determine a modified sample coating formulation. The color adjustment process can compensate for colorant strength characteristics variations in paint manufacturing by using the adjusted optical data for each color component present in the sample coating formulation. Adjustment of the optical data can improve the quality and / or accuracy of the modified sample coating formulation, thus reducing the number of correction steps required to obtain a desired color of the sample coating relative to the reference coating.