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.

To bring color, described by Lab values only, back into the spectral domain the invention discloses a method for automatically generating reflectance spectrum values from tristimulus values using a computer system administrating a database with data matrices of reflectance spectra of different colors differentiated by at least the process parameters print technology, substrate and print order of inks, wherein a) given tristimulus values of a color are classified with regard to the process parameters, b) in the database the data matrices of reflectance spectra of the respective color with the most matching process parameters are identified and c) the identified data matrix is used to define the reflectance spectrum values for the respective color.

The invention relates to a method for online quality control of decorative prints on substrate materials, including similarity comparisons of actual and target images and adjusting decorative prints if deviations of color values are detected. The method may include the steps of: a) producing a hyperspectral digital image of a print decoration; b) calibrating the print decoration via a hyperspectral digital image; c) producing and storing a digital target image of the print decoration; d) creating a first print decoration on a first substrate material; e) producing and storing a digital actual image of the printed decoration on the first substrate material; f) determining color deviations between the digital target image and the digital actual image via a computer program; and g) printing on at least one side of substrate materials so as to form a decorative layer. The invention also relates to a device for carrying out the method.

A sample inspection device includes a filter unit having a plurality of optical filters configured to transmit lights of different wavelength ranges, a light source unit configured to irradiate light to any one of the optical filters, a stage for placing a sample, and a reflector oriented to reflect light transmitted through one of the optical filters to the stage and to reflect light emitted from the sample on the stage to another one of the optical filters. The device also includes a detection unit for detecting light emitted from the sample on the stage through light transmitted through the another one of the optical filters, an actuator for moving the filter unit, and a control unit configured to control the actuator to move the filter unit when the detection unit receives the light passing through the another one of the optical filters.

A processing apparatus is connected to one or more terminals including a hyperspectral sensor that generates compressed image data which is hyperspectral information of a target compressed as two-dimensional image information over a network. The processing apparatus includes a storage device that stores data sets of samples and a first reconstruction table for generating hyperspectral data from the compressed image data, the data set of each sample includes hyperspectral data of the sample and data indicative of a property value of the sample; and a processing circuit that generates a statistical model for estimating the property value from the hyperspectral data on the basis of the data sets of the samples and generates a second reconstruction table by editing the first reconstruction table in accordance with the statistical model thus generated.

The present invention relates to an assembly with novel form of portable device to check color differences between varied surfaces designed for private or commercial use, and covers a wide range of applications, including. The assembly is easy to use, works well with variety of surfaces and can be used and reused efficiently with minimal training.

Processor implemented systems and methods for matching color and appearance of a target coating are provided herein. A system includes a storage device for storing instructions, and one or more data processors. The data processor(s) are configured to execute instructions to receive a target image of a target coating. The data processor(s) are also configured to apply a feature extraction analysis process that divides the target image into a plurality of target pixels for image analysis.

Processor implemented systems and methods for matching color and appearance of a target coating are provided herein. A system includes a storage device for storing instructions, and one or more data processors. The data processor(s) are configured to execute instructions to receive a target image of a target coating. The data processor(s) are also configured to apply a feature extraction analysis process that divides the target image into a plurality of target pixels for image analysis.

Apparatuses and methods for approximating a 5-angle color difference model are provided, where the 5-angle color difference model utilizes a 5-angle equation. In an exemplary embodiment, an apparatus includes a storage device for storing instructions and one or more processors configured to execute the instructions. The processor(s) are configured to receive 3-angle standard and test color measurements, and enter the 3-angle standard measurement into a neural network empirical model. The neural network empirical model includes a plurality of input nodes, a plurality of hidden nodes connected to the input nodes, and a plurality of output nodes connected to the hidden nodes. The neural network empirical model is configured to output 3-angle tolerance values, and to calculate a 3-angle color difference value using the 5-angle equation for at least one of the 3 color measurement angles using the 3-angle standard and test color measurements and the 3-angle tolerance values.

The present disclosure relates generally to signal encoding for printed objects such as product packaging, labels and hangtags. One implementation obtains a color image representing CMY color channels, and alters the color image to include an encoded signal by altering values representing CIELAB a* and b*, all the while keeping L* on or within a predetermined tolerance of a contour representing a constant value. Other implementations are provided.