A system and method is provided for hair dye color conversion in which a hair dye color mixture of one manufacture is matched and reproduced using a hair dye color mixture of another manufacture. 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. Additionally, the system and method apply a correction factor to the retransformed mathematical RGB values that corrects for RGB errors, wherein the correction factor employs a regression algorithm.

Described herein is a method for generating a bi-directional texture function (BTF) of an object, the method including at least the following steps: measuring an initial BTF for the object using a camera-based measurement device, capturing spectral reflectance data for the object for a pre-given number of different measurement geometries using a spectrophotometer, and adapting the initial BTF to the captured spectral reflectance data), thus, gaining an optimized BTF.

Also described herein are respective systems for generating a bi-directional texture function of an object.

Automation of the comparison of the colors of small surfaces of products. In one embodiment, color differences are measured rather than an absolute color value. An apparatus is provided for capturing color images of a portion of a product or part to provide a sample product image. The sample image is compared to an image of a standard product obtained under the same conditions with the same apparatus. The color difference is measured to determine when it is in a predetermined range.

A system including a processor and a memory configured to store code executed by the processor is provided. In one or more implementations, the processor is configured by the code to calibrate measurements made by color measurement devices. In one particular implementation, the processor receives a measurement dataset of one or more color values, for a sample obtained by a color measurement device. The processor is configured to convert the measurement dataset to a standard space measurement dataset using a standard space measurement model and calculate a color dataset based on the standard space measurement dataset using a color conversion model. The processor is further configured to output the calculated color dataset to at least one of a display, database or local memory store.

A spectral imaging device includes an imager, a scanning stage to establish relative motion between the imager and a sample in a scanning direction and an optical system controlling a light characteristic of a light beam constituting an image of the sample to the imager. The optical system includes a light varying element to receive the light beam and provide an output light beam with spatially varying light characteristic over a cross-section thereof. A set of redirecting optical elements direct light rays from the sample to form the light beam, and to focus the output light beam onto the imager. A controller controls the scanning stage and the imager to capture a plurality of image frames with an overlap including a defined shift that is greater than 1 pixel along the scanning direction between consecutive image frames. A computing device consolidates image data to provide an image of the sample.

When relation between a color of a color chip (a patch) in a color chart and a color of a color chip in an image-captured color chart is calculated, the color chip of the image-captured color chart was manually extracted by operating a keyboard or a mouse. Such an operation had a problem that an extraction error may occur, and that it takes time to manually extract all color chips in the color chart. The present invention solved the problem by a color chart in which recognition can be easily and automatically executed. The color chart includes a plurality of patches, and an automatic recognition marker configured to automatically recognize at least one of the plurality of patches.

In one or more implementations, the apparatus, systems and methods disclosed herein are directed to configuring a color measurement device to output color measurements that match the expected output of a different color measurement device. In a particular implementation, a method is provided for matching the color measurements made by a color measurement device to the color measurements made by a target color measurement device by implementing a single step color calibration and conversion process using an Artificial Neural Network (ANN). By way of non-limiting example, the raw counts from the color measurement device is converted to a specific color space, such as L*a*b, directly through an ANN. Such ANN is trained to ensure the output of the color measurement from the color measurement device will match with the output of the color measurement from a target color measurement device.

The invention relates to a system and a method for ascertaining a color recipe which produces a color product with a specified hue after an application onto a specified substrate using a specified application method. The method has 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) when at least one suitable database has been found in step c), displaying the information stored in the at least one data set, said information relating to the color recipe, wherein at least one of the data sets also comprises information on at least one reference hue, a reference application method, and a reference substrate. The reference hue is produced when the color recipe to which information contained in the data set relates is applied onto the reference substrate using the reference application method, and the reference application method differs from the application method to which the information contained in the data set relates and/or the reference substrate differs from the substrate to which information contained in the data set relates.

An information processing apparatus (10) for evaluating the chromatic discriminability of content includes: a unit (S12) that converts the color space values of each of first and second verification points A and B on the content into Lab color space values; a unit (S13) that calculates the color difference and the lightness difference between the first and second verification points based on the Lab color space values; and a unit (S23, S24) that determines color-difference discriminability by comparing the color difference between the first and second verification points with a color-difference threshold, and determines lightness-difference discriminability by comparing the lightness difference between the first and second verification points with a lightness-difference threshold. Each of the color-difference threshold and the lightness-difference threshold is set to a value that depends on whether a region containing the first verification point and a region containing the second verification point are adjoining or not.

A method for determination of a cross-manufacturer hair coloration agent recommendation is provide. The method includes the allocation of a number of hair coloration agents to respectively one standard source hair color of a number of source hair colors, a coloration of hair samples with the number of hair coloration agents, a colorimetric measurement of the number of hair samples, a determination of a color difference between each of the number of colors, an allocation of each of the hair coloration agents with unknown composition to one of the hair coloration agents with known composition in such a way that the color difference is minimized, a determination of the user source hair color, a determination of the user's desired hair color, a determination of a first recommended hair coloration agent from the number of hair coloration agents of known composition and of a second recommended hair coloration agent.