188results about "Color matching" patented technology

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.

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 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.

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.

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

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.

A method for determining a color formulation for a target color starts by generating a plurality of candidate color formulations to reproduce the target color. For each candidate formulation, a predicted Delta E indicating the difference between the predicted color of the candidate formulation and the target color is determined. Also for each candidate formulation, a confidence value in the predicted Delta E is generated by summing weighted quality factors for each colorant in the candidate formulation. The weighted quality factors represent the proportion of each colorant in the candidate formulation. Then, a formulation is selected based on the predicted Delta E and the confidence value. The target color may be defined according to a multi-dimensional color space.

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.

The invention relates to a hand-held device (100) for spectrophotometry, comprising: a) a housing (110) having an opening for a light beam to enter the hand-held device from a surface; b) a device (120) for determining a reflection value of the light beam; and c) an interface (140) for a mobile device (200), the interface providing a signal indicative of the reflection values to the mobile device. Accordingly, a handheld device for spectrophotometry is provided in which a mobile device is used as a user interface.

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.