241results about "Color matching" patented technology

In some embodiments, a computer-implemented method of accurately reproducing a color of a mixed product is provided. A color management computing system receives one or more inputs indicative of a target color. The color management computing system transmits a command to a product mixing device to dispense color component products to be mixed to create a mixed product of a first color. The color management computing system obtains an image that includes the mixed product. The color management computing system updates a display color correction profile based on a comparison of a captured color of the mixed product in the image to the target color. The color management computing system presents one or more instances on a display device of an adjusted target color indicative of the updated display color correction profile, in response to receiving a subsequent request to change the target color.

A computing system and associated methodology of evaluating and matching colored sparkle appearance of coatings containing at least one effect pigment type are disclosed. The methodology processes a digital image of a coating sample obtain pixel-specific sparkle point data and pixel-specific background data, both of which are formatted in accordance with an advanced color appearance model that corresponds to human color perception. A colored sparkle visual scaling value is calculated from the pixel-specific data, wherein the visual scaling value indicates colored sparkle characteristics of the coating sample. The visual scaling value of the coating sample is compared against the visual scaling value of a previously-characterized candidate coating specimen. The results of the comparison are used to determine how well the candidate coating specimen matches (in colored sparkle characteristics) the coating sample.

Disclosed here is a method of matching color and appearance of coatings containing at least one effect pigment. The method involves: obtaining, for a coating sample, sample color image data having pixel-specific color model properties; generating a characterizing histogram for the sample color image data, wherein the characterizing histogram represents an appearance feature descriptor of the coating sample; creating a sample histogram vector from the characterizing histogram; retrieving a specimen histogram vector for a candidate coating specimen; and calculating a cosine similarity value from the sample histogram vector and the specimen histogram vector, wherein the cosine similarity value indicates how well the candidate coating specimen matches the coating sample to be matched.

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.

Disclosed here is a method of matching color and appearance of coatings containing at least one effect pigment. The method involves: obtaining, for a coating sample to be matched, sample color image data having pixel-specific color model properties; creating local binary patterns based on the pixel-specific color model properties; generating a binary pattern histogram for the local binary patterns, wherein the binary pattern histogram arranges the local binary patterns into N distinct bins to obtain N bin counts, and wherein the binary pattern histogram represents an appearance feature descriptor of the coating sample to be matched; and utilizing the binary pattern histogram for comparison against a previously generated binary pattern histogram that serves as an appearance feature descriptor of a candidate coating specimen.

Method of manufacturing a colored product, which includes obtaining a first colored covering material, where the first colored covering material is a first covering material coated with a first coating, where the first coating has a first color, where the first color has a first wavelength, where the first wavelength is 400 nm to 620 nm; measuring the first wavelength of the first color; determining a second wavelength of a second color, where the determining includes calculating the second wavelength by multiplying the first wavelength by a first phi factor, where the first phi factor is a product of n times φ, where n is 0.1 to 100, where φ is 1.618 ±ε, where ε is 0 to 1, where the second wavelength is 585 nm to 800 nm; obtaining a second covering material, and a second coating having the second color; coating the second covering material with the second coating, to form a second colored covering material; and applying the first colored covering material and the second colored covering material to a product, to form the colored product.

Provided is a dyeing absorbance spectra prediction apparatus and method. The apparatus includes an input module to receive customer's order for dyeing and colorimetric reflectance data of a dyeing result, database to store absorbance data for each concentration for monochromatic dyes and dyeing absorbance data, and a processor connected to the input module and database. The processor generates the absorbance data for each concentration based on reflectance data for each concentration for the monochromatic dyes, generates the dyeing absorbance data according to concentration of each dye based on absorbance of a dye bath before and after dyeing of the monochromatic dyes, predicts a dye mixing ratio for the mixed dye to predict first spectra, predicts second spectra of the dyeing absorbance, converts the colorimetric reflectance data of the customer's order into absorbance data to implement third spectra, compares the second spectra with the third spectra, and outputs comparison result.

Method of manufacturing a colored product, which includes obtaining a first colored covering material, where the first colored covering material is a first covering material coated with a first coating, where the first coating has a first color, where the first color has a first wavelength, where the first wavelength is 400 nm to 620 nm; measuring the first wavelength of the first color; determining a second wavelength of a second color, where the determining includes calculating the second wavelength by multiplying the first wavelength by a first phi factor, where the first phi factor is a product of n times φ, where n is 0.1 to 100, where φ is 1.618±ε, where ε is 0 to 1, where the second wavelength is 585 nm to 800 nm; obtaining a second covering material, and a second coating having the second color; coating the second covering material with the second coating, to form a second colored covering material; and applying the first colored covering material and the second colored covering material to a product, to form the colored product.

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.

Disclosed herein is a dye recipe calibration apparatus and method, wherein the dye recipe calibration apparatus includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction stored in the memory, and the processor calibrates a dye recipe on the basis of absorbance data for an electronic color value of a target color and absorbance data for each monochromatic dye constituting a mixed dye generated according to a dye recipe for the target color.

The invention relates to a method for identifying interference pigments (103) in a coating (101), comprising at least the following steps: inc1 ) irradiates the coating (101) applied to the surface with light at a relative angle to the first irradiation angle (θ inc1 ) of the Bragg angle (θ spec1 ) measured by the first non-specular measurement angle (θ as1 ) recording a first image of the coating (101) applied to the surface at at least one second illumination angle (θ) different from the first illumination angle relative to the surface normal inc2 ) irradiates the coating (101) applied to the surface with respect to the at least one second irradiation angle (θ inc2 ) of the Bragg angle (θ spec2 ) measured at the first non-specular measurement angle; - spatially and spectrally analyzing and evaluating the first image and the at least one second image, - based on the first image and the at least one second image, the first and the at least one second illumination angle (θ inc1 ,θ inc2 ) and the first non-specular measurement angle (θ as1 ), identifying the interference pigment (103). A corresponding device and a computer-readable medium are also disclosed.

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 computer-implemented tool intended to be controlled by a user for assisting the development of cosmetic product colors, the tool comprising: a mapping mode adapted for the user to select a set of cosmetic product colors from a library of cosmetic product colors, the drawing mode is configured to classify each of the selected set of colors using a method of classifying the colors of the makeup product according to labels designed to subjectively perceive the makeup colors. The drawing mode is configured to display a graph of selected colors arranged in a table according to the respectively assigned labels, the table being composed in a main row representing each color system label and a main column representing each hue sub-system label, each main row including a sub-row representing each luminance sub-system label, each sub-row including a sub-row representing each luminance sub-system label, and each sub-column including a sub-row representing each luminance sub-system label. Each primary column includes a sub-column representing each chroma sub-system tag.

The invention relates to a computer-implemented method of colour calibration, the method comprising: selection of a real body-area sample (3), in particular of hair, coloured with a target real reference colour (31), each real sample being associated with a real identifier; visual determination, by an expert, of the target real reference colour (31); receipt, by a colour-management computer system, of one or more inputs (5) indicative of the target real reference colour (31); storage, by the colour-management computer system, of an updated virtual colour profile.

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.

The invention relates to a printing color difference defect detection technology, which is used for solving the problems that during color difference defect detection of printing on an aluminum-foil paper metal surface and an adhesive tape metal coating surface of a cigarette packaging material, due to environmental factors, a metal aluminum powder coating on the aluminum-foil paper metal surface and the adhesive tape surface reflects light and is poor in ink absorption property during printing; the problems of product raw material waste, production progress delay and production cost increase caused by erroneous judgment of product quality and incapability of timely adjustment of wrong production parameters due to non-uniform printing coating factors and interference of a color difference tester on own factors in the prior art are solved. The printing color difference defect detection device based on the artificial intelligence system comprises a color difference tester; interference of environmental factors, factors of aluminum-foil paper and an adhesive tape and factors of a tester is eliminated through the influence analysis module, so that a detection result can more accurately reflect the color difference condition of printing of the aluminum-foil paper and the adhesive tape, and a more accurate basis is provided for improving production.

A method for matching a vehicle coating comprising a basecoat and a clearcoat comprising: providing a database including a plurality of records for different basecoats, each comprising for a combination of one basecoat with a reference clearcoat having a reference gloss value i) a set of reflectance spectra for a plurality of aspecular angles, and ii) data representative of a paint formulation corresponding to the basecoat; measuring a gloss value and a set of reflectance spectra of the vehicle coating to obtain a measured gloss value and a measured set of reflectance spectra; correcting the measured set of reflectance spectra to obtain a corrected set of reflectance spectra by using gloss correction parameters based on the measured gloss value and the reference gloss value; selecting a candidate basecoat closest matching the corrected reflectance spectra; and obtaining from the database a paint formulation corresponding to the selected candidate basecoat.

An information processing apparatus performs, as a first specification processing, specification processing of specifying, in a color chart composed of a plurality of rows each including a plurality of color patches, one candidate row that is a candidate for a color-measured row in which a user performed color measurement, based on colorimetric values of the candidate row and reference values of respective color patches in the color chart; and performs specification processing of specifying, in a case where it is not possible to specify only one candidate row in the first specification processing, the color-measured row with use of information other than colorimetric values.

To execute appropriate color comparison even when a reference object has color irregularities.SOLUTION: A color comparison device 1 executes: a reference information acquisition step (step S1) of acquiring colorimetric values of a plurality of reference points A1-Am in a reference object having color irregularities; a target information acquisition step (step S2) of acquiring colorimetric values of a plurality of measurement points B1-Bm in a target; a calculation step (step S4) of combining a reference point An and a measurement point Bn, and calculating the Euclidean distance L on color space coordinates between the combined reference point An and measurement point Bn; and a determination step (step S6) of comparing the Euclidean distance L calculated on the basis of at least any one combination of the combinations of the reference point An and measurement point Bn with a predetermined threshold Lth, to determine whether or not the color of the reference object and the color of the target are similar to each other.SELECTED DRAWING: Figure 3

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.

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.

Aspects described herein generally relate to a method for determining at least one adjusted sample coating to match the appearance of a reference coating, and respective systems, apparatuses, or computer elements. More specifically, aspects described herein relate to methods and respective systems, apparatuses, or computer elements for determining at least one adjusted sample coating to match the appearance of a reference coating by considering visual deviations in appearance between a sample coating and an associated reference coating which are subjectively perceived by a human observer. This allows to determine if an adjusted sample coating being considered a better match in terms of appearance based on the appearance data also reduces or eliminates the subjectively perceived visual differences between the sample and the reference coating or not. In case the adjusted sample coating cannot reduce or eliminate the subjectively perceived visual differences, further adjusted sample coatings and / or further matching sample coatings obtained from a database search can be provided. Considering the subjectively perceived visual differences between a sample and a reference coating during determination of an adjusted sample coating allows to only provide adjusted sample coatings which reduce the subjectively perceived difference in appearance between the sample coating and the reference coating, thus avoiding proposal of adjusted sample coatings not being a better match with respect to appearance than the sample coating for the human observer. This approach reduces the number of steps and the amount of time necessary to obtain a sufficient degree of color matching.

A color control method for four-color field jet dyeing, a color control device for four-color field jet dyeing, and a color control system for four-color field jet dyeing are provided. [Solution] It is found whether there are planned pre-coloring color parameters that correspond to the fabric parameters and the color of the sample fabric. If there are no planned pre-coloring color parameters, temporary pre-coloring color parameters are generated based on the fabric parameters and the color of the sample fabric, and the temporary pre-coloring color parameters are used as comparison sample parameters. Field jet dyeing parameters are generated from the comparison sample parameters, and the fabric is dyed. If there are planned pre-coloring color parameters in the field jet dyeing database are used as comparison sample parameters, and field jet dyeing parameters are generated based on the comparison sample parameters, and the fabric is dyed.

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.