Disclosed is a process for determining a plurality of color quality indicators for controlling the color of a coating. Colorimetric coordinates of a color reference and the coating are ascertained for a plurality of coated surface elements using a spectrophotometer at a number of measurement geometries and a number of light sources. For each measurement geometry and each light source, color differences are calculated from the colorimetric coordinates of the color reference and the coating of the plurality of coated surface elements. The respective colorimetric coordinates are normalized with one weighting factor. Each of the plurality of color quality indicators is determined by means of a mapping, of functional values onto a scale value of a predetermined scale. The functional values are determined in each case for the number of measurement geometries and the number of light sources by means of a mathematical relationship.

Described herein is a computer-implemented process which includes at least the following steps: receiving at least one image or a plurality of images, implementing an image analysis for each of the images obtained, using at least one processor, identifying at least one sparkle point within a respective image, implementing a features analysis of the at least one identified sparkle point in the respective image in respect of at least one predefined size feature, determining at least one value for the at least one predefined size feature for the at least one sparkle point, calculating a size distribution for the respective image based on the determined value for the at least one predefined size feature, and providing a formulation for a coating which is identical or at least similar in appearance to the target coating.

Colorimeter having first and second illumination units disposed symmetrically to a reference line in a prescribed plane, first and second light-receiving parts disposed symmetrically to the reference line in the prescribed plane, a calculation unit for determining color information about a measurement object, and an opposing wall that opposes the measurement object when it is measured. The opposing wall has an abutting part that abuts the measurement object when it is measured. The abutting part has a pair of first abutting parts disposed on two sides of a measurement opening to flank the measurement opening; and a pair of second abutting parts disposed on an orthogonal line orthogonal to a first-abutting-part connection line that connects the pair of first abutting parts to each other, the pair of second abutting parts being disposed on two sides of the first-abutting-part connection line to flank the first-abutting-part connection line.

A system for detection and coating analysis that comprises a digital camera and a light-based protractor positioned adjacent to or on a physical coating surface. The system identifyies a particular angular indication being displayed by the light-based protractor. The system then identifies a target color of the physical coating surface and identifies one or more target coating texture characteristics of the physical coating surface. Additionally, the system identifies a proposed coating that comprises a proposed color that matches the target color and proposed coating characteristics that match the one or more target coating texture characteristics. The system then displays, on a user interface, the proposed coating.

A computer-implemented method for identifying an effect pigment, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring sample image data describing a digital image of a layer comprising a sample effect pigment b) determining, based on the sample image data, sparkle point data describing a sample distribution of sparkle points defined by the digital image, wherein the sample distribution is defined in an N-dimensional color space, wherein N is an integer value equal to or larger than 3; c) determining, based on the sparkle point data, sparkle point transformation data describing a transformation of the sample distribution into an (N−1)-dimensional color space; d) determining, based on the sparkle point transformation data, sparkle point distribution geometry data describing a geometry of the sample distribution; e) acquiring reference distribution geometry data describing a geometry of a reference distribution of sparkle points in the (N−1)-dimensional color space; f) acquiring reference distribution association data describing an association between the reference distribution and an identifier of the reference distribution; g) determining, based on the sparkle point distribution geometry data and the reference distribution geometry data and the reference distribution association data, sample pigment identity data describing an identity of the sample effect pigment.

An optical characteristic measurement device has a measurement opening, includes a first optical measurement unit and a second optical measurement unit that measure different optical characteristics with different geometries with respect to a measurement target facing the measurement opening, and further includes a processing unit that corrects a measurement value obtained in the second optical measurement unit based on a measurement value obtained in the first optical measurement unit. The first optical measurement unit includes an illumination optical system that illuminates the measurement target facing the measurement opening, a first light receiving optical system that collects light reflected by the measurement target, and a first light receiving unit that receives light collected by the first light receiving optical system and outputs the light as a measurement signal, and has a diffuse reflection surface that diffuses and reflects incident light to the illumination optical system or the first light receiving optical system. The second optical measurement unit includes a light projecting optical system that projects light from a direction inclined by a predetermined angle with respect to a normal line of a measurement surface of the measurement target facing the measurement opening, a second light receiving optical system that collects light reflected by the measurement target in a regular reflection direction, and a second light receiving unit that receives light collected by the second light receiving optical system and outputs the light as a measurement signal.

System (100) for measuring the spatial distribution of the spectral emission of a measurement zone (2) of an object (1), comprising: a first objective (202); means (204) for selecting a portion of an image formed by the first objective; a diaphragm (208); light-dispersing means (210) located in the vicinity of the diaphragm and allowing the light coming from the selecting means to be dispersed; a second objective (206) placed between the selecting means and the diaphragm, interacting with the first objective so that the aperture of the diaphragm is optically conjugated with the measurement zone by the first and second objectives and so that the measurement zone. According to the invention, the first objective forms an image on a predetermined Fourier surface on which each point corresponds to an emission direction of the object for one particular wavelength, the selecting means have a selection surface shaped depending on the predetermined Fourier surface, and the selecting means are placed on the predetermined Fourier surface.

A computer system for identifying coating texture effects initiates a set of colorant decision points. The colorant decision points identify a probability that an effect pigment type is present within a target coating. The computer system calculates in parallel each colorant decision point within the set of colorant decision points. Each colorant decision point provides a probability that a different effect pigment type is present within the target coating. The computer system then calculates a set of final colorant probabilities. Each final colorant probability within the set of final colorant probabilities is calculated by combining a unique subset of probabilities calculated by the first set of colorant decision points. Additionally, each final colorant probability indicates a probability that an associated colorant is present within the target coating.

A system for the automatic grading of a cut/polished gemstone (SUT) includes an enclosure with a stage for mounting the cut/polished SUT. The enclosure further includes one or more sources of broadband visible (BBV) light, the sources of BBV light being controllable by a programmable controller; an image sensor for capturing a plurality of images of a mounted SUT, and one or more sources of UV light mounted within the enclosure. The controller captures images of the mounted SUT from one or more selected angles relative to the sensor elevation axis and relative to the position of the SUT on the stage rotation axis; an image capturing module is configured for processing the one or more images; and, a light grade calculation module is configured for grading the cut/polished SUT using light indicative parameters from at least a part of the one or more images captured.

A system and method include receiving target image data associated with a target coating. A texture feature extraction analysis process is applied to the target image data to determine a target texture image feature. A machine learning model identifies one or more texture features for matching to a target coating.