A colorimeter comprises a colorimetric value obtaining means to obtain a colorimetric value by performing color measurement on a measuring sample; a reference value obtaining means to obtain a reference value; a computing means to, using a color difference formula, ΔE*.sub.94, compute ΔL*.sub.94, Δa*.sub.94, and Δb*.sub.94 with reference to the colorimetric value obtained by the colorimetric value obtaining portion and the reference value obtained by the reference value obtaining portion, the ΔL*.sub.94, Δa*.sub.94, and Δb*.sub.94 having a relation of

ΔE*.sub.94=[(ΔL*.sub.94).sup.2+(Δa*.sub.94).sup.2*(Δb*.sub.94).sup.2].sup.1/2

where the ΔL*.sub.94 corresponds to a difference in lightness, the Δa*.sub.94 corresponds to a difference in red and green, and the Δb*.sub.94 corresponds to a difference in blue and yellow; and a display means to display computational results obtained by the computing means.

A colorimeter comprises a colorimetric value obtaining means to obtain a colorimetric value by performing color measurement on a measuring sample; a reference value obtaining means to obtain a reference value; a computing means to, using a color difference formula, ΔE*.sub.94, compute ΔL*.sub.94, Δa*.sub.94, and Δb*.sub.94 with reference to the colorimetric value obtained by the colorimetric value obtaining portion and the reference value obtained by the reference value obtaining portion, the ΔL*.sub.94, Δa*.sub.94, and Δb*.sub.94 having a relation of

ΔE*.sub.94=[(ΔL*.sub.94).sup.2+(Δa*.sub.94).sup.2*(Δb*.sub.94).sup.2].sup.1/2

where the ΔL*.sub.94 corresponds to a difference in lightness, the Δa*.sub.94 corresponds to a difference in red and green, and the Δb*.sub.94 corresponds to a difference in blue and yellow; and a display means to display computational results obtained by the computing means.

An article of manufacture comprises a surface that includes a first region and a surface treatment over the first region. The first region includes a depiction of a real-world object and the surface treatment exhibits a first light reflectance value. The real-world object exhibits a second light reflectance value, and the first light reflectance value is within 30 percent of the second light reflectance value. The article of manufacture may include an article of clothing or a durable good.

A method for generating a highly distinctive signature of a certain diamond, the method may include generating, based on one or more images of the certain diamond, a certain diamond signature of the certain diamond; finding, out of a group of reference diamonds, other diamonds having other diamond signatures; wherein the finding comprises calculating similarities between the certain diamond signature and reference diamond signatures of the reference diamonds of the group; and generating a new certain diamond signature that significantly differs from signatures of the other diamonds.

A detector (110) for an optical detection of at least one object (112) is proposed. The detector (110) comprises: —at least one transfer device (120), wherein the transfer device (120) comprises at least two different focal lengths (140) in response to at least one incident light beam (136); —at least two longitudinal optical sensors (132), wherein each longitudinal optical sensor (132) has at least one sensor region (146), wherein each longitudinal optical sensor (132) is designed to generate at least one longitudinal sensor signal in a manner dependent on an illumination of the sensor region (146) by the light beam (136), wherein the longitudinal sensor signal, given the same total power of the illumination, is dependent on a beam cross-section of the light beam (136) in the sensor region (146), wherein each longitudinal optical sensor (132) exhibits a spectral sensitivity in response to the light beam (136) in a manner that two different longitudinal optical sensors (132) differ with regard to their spectral sensitivity; wherein each optical longitudinal sensor (132) is located at a focal point (138) of the transfer device (120) related to the spectral sensitivity of the respective longitudinal optical sensor (132); and —at least one evaluation device (150), wherein the evaluation device (150) is designed to generate at least one item of information on a longitudinal position and/or at least one item of information on a color of the object (112) by evaluating the longitudinal sensor signal of each longitudinal optical sensor (132). Thereby, a simple and, still, efficient detector for an accurate determining of a position and/or a color of at least one object in space is provided.

A method of adapting a Lab setpoint color value of multicolored printed products, wherein a special color is replaced by process colors using an ICC color profile. A measurement point that is assigned to the replaced special color on the printed product is metrologically acquired using a color measuring system and a Lab actual color value of the measurement point is calculated. The ICC color profile or a standardized ICC color profile is used for computing the color composition of the Lab setpoint color value from the participating process colors. Changes of the layer thicknesses of the participating process colors are ascertained to achieve a predetermined Lab setpoint color value of the measurement point using a digital tool or a digital model. The participating process colors are adapted using the ascertained changes of their layer thicknesses.

System and methods for matching color and appearance of a target coating are provided herein. The system includes an electronic imaging device configured to receive a target image data of the target coating. The target image data includes target coating features. The system further includes one or more feature extraction algorithms that extracts the target image features from the target image data. The system further includes a machine-learning model that identifies a calculated match sample image from a plurality of sample images utilizing the target image features. The machine-learning model includes pre-specified matching criteria representing the plurality of sample images for identifying the calculated match sample image from the plurality of sample images. The calculated match sample image is utilized for matching color and appearance of the target coating.

System and methods for matching color and appearance of a target coating are provided herein. The system includes an electronic imaging device configured to receive a target image data of the target coating. The target image data includes target coating features. The system further includes one or more feature extraction algorithms that extracts the target image features from the target image data. The system further includes a machine-learning model that identifies a calculated match sample image from a plurality of sample images utilizing the target image features. The machine-learning model includes pre-specified matching criteria representing the plurality of sample images for identifying the calculated match sample image from the plurality of sample images. The calculated match sample image is utilized for matching color and appearance of the target coating.

Described herein is a computer-implemented method. The method includes: providing digital images and respective formulas for coating compositions with known pigments and/or pigment classes associated with the respective digital images, classifying, using an image annotation tool, for each digital image, each pixel, by visually reviewing the respective digital image pixel-wise, providing, for each digital image, an associated pixel-wise annotated image, training a first neural network with the provided digital images as input and the associated pixel-wise annotated images as output, making the trained first neural network available for applying the trained first neural network to at least one unknown input image of a target coating and for assigning a pigment label and/or a pigment class label to each pixel in the at least one unknown input image, and determining and/or outputting, for each unknown input image, a statistic of corresponding identified pigments and/or pigment classes, respectively.

Graphene quantum dots are functionalized by covalently bonding a corrosion inhibitor molecule thereto. In a useful method, a corrosion inhibitor compound is blended with a graphene quantum dot-tagged corrosion inhibitor compound, and the blend is applied to a metal surface, such as the interior of a carbon steel pipe. The blend inhibits corrosion arising from contact with produced water generated by hydrocarbon recovery from one or more subterranean reservoirs. The produced water having the blend dispersed therein is irradiated with a source of light having a selected first range of wavelengths, and the luminescent emission of the graphene quantum dot-tagged corrosion inhibitor is measured at a selected second range of wavelengths, thereby providing for real-time measurement of corrosion inhibitor concentration within the pipe.