The colorimetric system of this embodiment includes the reception section that accepts generation of a color group including a plurality of reference colors to be compared with a color measured by a colorimetric section and an input of a color group name and the display processor that performs a process of displaying the generated color group on the display section. Furthermore, the reception section accepts a selection of a color group of a colorimetry target and the display processor performs a process of displaying a name of the selected color group in the display section.

The invention relates to a system and a method for ascertaining a color recipe, having the steps of: a) providing a database with a plurality of data sets, b) specifying a target application method, a target substrate, and a desired target hue by means of a user, c) searching the database using a computer program, and d) displaying stored information relating to the color recipe of at least one data set if found. The database for at least one hue comprises at least two different respective data sets, each of which comprises the same hue identification code but different substrates and/or application methods, and different color recipes, and the database for at least one color recipe comprises at least two different respective data sets, each of which comprises the same color recipe identification code but different substrates and/or application methods, and the resulting hue, wherein i) at least 90% of the data sets with different hues contain a respective different hue identification code than the other data sets, and/or ii) at least 90% of the data sets with different color recipes contain a respective different color recipe identification code than the other data sets.

An image processing apparatus includes a processor configured to: store a first color patch used in using metallic toner and a second color patch used in using CMYK toner other than the metallic toner without using the metallic toner; receive a first colorimetric value obtained by measuring color of the first color patch and a second colorimetric value obtained by measuring color of the second color patch; calculate a third colorimetric value on a basis of the first colorimetric value obtained by measuring the color of the first color patch and the second colorimetric value obtained by measuring the color of the second color patch, and generate a profile to be used to convert an input color value into an output color value, the profile being generated on a basis of the third colorimetric value; and calculate the third colorimetric value that ranges from the first colorimetric value to the second colorimetric value in response to a total amount of CMYK toner being lower than or equal to a threshold, the total amount of the CMYK toner resulting from color conversion of the input color value performed by using the profile, and calculate the third colorimetric value that coincides with the first colorimetric value in response to the total amount exceeding the threshold.

Provided is a measurement device including a spectroscope, a movement mechanism configured to relatively move the spectroscope along a first direction with respect to the measurement target, and one or more processors configured to execute detecting a measurement error indicating that spectroscopic measurement processing by the spectroscope is not executed normally, and controlling the spectroscope and the movement mechanism, in which the one or more processors, when the measurement target is a plurality of color patches arranged along the first direction, cause the spectroscope to execute first measurement processing of measuring light with a specific wavelength set in advance while relatively moving the spectroscope in the first direction to acquire a measured value with respect to the specific wavelength obtained by the first measurement processing and a position of the spectroscope, and when the measurement error is detected, move the spectroscope to a position where an amount of variation of the measured value is greater than or equal to a threshold value in a second direction opposite to the first direction and then move the spectroscope in the first direction.

Optical property measurement using a sensor behind a display screen Examples of this application disclose a method for measuring optical properties of a target. The method comprises illuminating the target with an illumination area with a display screen in contact with the target, and analysing signals reflected from the target and transmitted back through the display screen to a sensor positioned behind the display screen, to determine the optical properties of the target.

An information processing device includes an image acquisition unit configured to acquire spectroscopic images for a plurality of spectral wavelengths as a captured image of an imaging target, a spectrum calculation unit configured to calculate an optical spectrum in each of pixels, based on the plurality of spectroscopic images, a feature wavelength detection unit configured to detect a feature wavelength of the optical spectrum in each of the pixels, a color set unit configured to calculate a feature angle corresponding to the feature wavelength in each of the pixels and set, as a feature color of a corresponding pixel, a color in the hue circle corresponding to the feature angle, and an image generation unit configured to generate a feature detection image obtained by converting each of the pixels of the captured image into the feature color corresponding to the pixel.

First relational equations which represent characteristics of respective sample colors are obtained, and for the respective sample colors, prediction values of spectral characteristics of characteristics-acquired gradation values for a prediction target color are obtained using the first relational equations. Difference values between the prediction values and actual measurement values are obtained, and a sample color for which a minimum difference value is obtained is selected as a reference color. A second relational equation that represents characteristics of the reference color is obtained, and a prediction value of spectral characteristics of a prediction target gradation value for the prediction target color is obtained using the second relational equation.

Color calibration for digital pathology is provided. A standard glass slide is prepared with a specimen having zero or more stains. The specimen is scanned a first time using a hyperspectral imaging system to produce a first digital image having XYZ color values. The specimen is scanned a second time using a digital pathology imaging system to produce a second digital image having RGB color values. The first and second digital images are then registered against each other to align the digital image data. Individual pixels of the first and second images may be combined in the registration process so that the first and second digital images have substantially similar pixel sizes. A lookup table is generated to associate XYZ color values to RGB color values. Once the lookup table has been generated, it can be used to present RGB color on a display using the corresponding XYZ color.

Examples of a method and a system measure colorimetric data of a set of color samples deposited on a reference substrate and on at least one further substrate having distinct colors from one another. Based on the measured colorimetric data, estimate functions are applied for mapping between the colorimetric data of the color samples deposited on differently colored substrates.

Certain examples described herein relate to mapping between an input color space and an output color space. In some cases, data representing a set of candidate output color values in the output color space is obtained for a transition region between two input color values in the input color space. A sub-region of the transition region is defined, the sub-region being associated with a target colorimetry and a target value of a metric. An output color value is selected from the set of candidate output color values. The output value has an associated value of the metric and an associated colorimetry. The selecting is based on the associated colorimetry and the target colorimetry, and the value of the metric and the target value of the metric. In some cases, mapping data is generated by assigning the selected output color value to the sub-region.