Abstract:
A miniaturized spectrometer/spectrophotometer system and methods are disclosed. A probe tip including one or more light sources and a plurality of light receivers is provided. A first spectrometer system receives light from a first set of the plurality of light receivers. A second spectrometer system receives light from a second set of the plurality of light receivers. A processor, wherein the processor receives data generated by the first spectrometer system and the second spectrometer system, wherein an optical measurement of a sample under test is produced based on the data generated by the first and second spectrometer systems.
Abstract:
A method of obtaining a range of colors includes the following steps: selecting a test color from a predetermined set of colors, selecting a test palette comprising a plurality of color samples, measuring the real color of each sample when illuminated by a white light source, measuring the apparent color of each sample when illuminated by a test source formed by the white light source filtered by the test color, measuring the chromatic error between the real color and the apparent color of each sample, taking account of chromatic adaptation, measuring the mean chromatic error for all the chromatic errors, comparing the mean chromatic error to a test value, and adding the test color to the range if the mean chromatic error is less than or equal to the test value.
Abstract:
The present invention is composed of a computer positioned at a basal portion of an apparatus for conducting image processing and counseling processing; a first image display means for displaying a computer-processed image to a subject, mounted upright in the computer, a second image display means for displaying the computer-processed image to a counselor, mounted upright in the computer so that a display screen thereof is directed in a direction opposite the first display means; and photographic means, positioned near the first image display means, for photographing a subject directed in a direction of the first display means and feeding a facial image of the subject into the computer, thus making the apparatus small in scale and simple in composition, and suitable for a counselor to provide counseling on make-up to a subject.
Abstract:
The following procedures are included: a procedure (1) for measuring a metallic paint color by a multi-angle spectrophotometer and storing the multi-angle colorimetric value Lab* of the paint color, a color classification code to which the paint color belongs, and a computer graphic image in a memory of a computer and a procedure (2) for calling a metallic paint color to be retrieved (this is referred to as the metallic paint color concerned) from the memory by using a paint color name as a keyword. Moreover, in the case of a new color not stored in the memory, the color is measured by a multi-angle spectrophotometer and stored in the memory in accordance with the procedure (1). A screening function (3) is included which previously narrows down paint colors whose approximate colors will be computed by using color classification codes when computing an approximate color of the metallic color concerned.
Abstract:
To obtain colorimetric values intended for regulating inking on a printing press (1) from a printed image (3) produced by the printing press (1), the printed image is measured calorimetrically in a plurality of pixels (4) with respect to a selected color coordinate system. The color vectors thus obtained for each pixel (4) are used to calculate color difference vectors to predetermined reference color vectors based on the same color coordinate system or reference color vectors determined from a reference printed sheet (3). The color difference vectors are multiplied by a weighting factor determined from the ink coverage of the pixels (4) and/or the color differences between the pixels (4) and their neighboring pixels (4). The color difference vectors weighted in this way can then be used as colorimetric values for regulating the inking on the printing press (1).
Abstract:
Solid-patches 11, 12, and 13 each printed with color-inks of cyan, magenta, yellow, and a gray patch 14 included in a color bar 15 are printed on a printed-matter 10. A measuring and calculation device 4 measures actual ink densities at each of the solid-patches and gray patches in the color bars 15 and obtains differential values between the actual ink densities and target ink densities at the gray patch 14. Then, both the amount of the primary-color-component and that of the color-impurity-component at the solid patches 11, 12, and 13 are respectively substituted into equations at every detection of the differential values and that of the gray patches. In this way, ink supply volume is adjusted as a result of converting the differential values into primary-color-component differential amount in each of the color-inks.
Abstract:
Methods and apparatus for determining accurate hair color classifications and appropriate coloring agents to bring about a selected change of color include a table of hair color classifications, a color measuring instrument to arrive at Hunter L, a and b values for use in identifying a particular classification from the table and a database that identifies appropriate coloring agents based on a selection of coloring actions from a menu and the classifications of hair color.
Abstract:
A color discrimination system which emits light from a light source to a measurement target, receives the light reflected from the measurement target or the light penetrating the measurement target by a light reception section for receiving the light for each of a plurality of light wavelengths, finding the sum total of the light reception quantities of the wavelengths and the ratios of the light reception quantities of the wavelengths to the sum total by an operation section, compares the values with reference values provided for a detection object, and discriminates color of the measurement target from color of the detection object based on the comparison result. The quantity of the light received by the light reception section for the detection object is sampled and the reference values are set to appropriate values, for example, in the range of the maximum value and the minimum value based on the sum total of the light reception quantities of the wavelengths and the ratios of the light reception quantities of the wavelengths to the sum total found by the operation section, whereby the optimum reference values responsive to the detection state and the detection environment can be set easily.
Abstract:
An apparatus for sensing blend segregation in a mixture comprises a light transmissive window disposed within a feed connection between a hopper and an extruder for example, a light source for emitting a light beam, and a light sensor to perform spectrum analysis of any incident light supplied thereto. An illumination assembly has a first end optically coupled to the light source and a second end optically coupled to the light transmissive window to illuminate a portion of the internal path provided by the feed connection. At least one detection assembly is provided, having a first end disposed adjacent to the light transmissive window so as to detect the reflection from any illuminated polymer blend passing therethrough. The light sensor collects the diffuse reflecting light from the polymer blend and transforms the diffuse reflecting light into tri-color signals, reflection curves or the like, for comparison with other diffuse reflecting light so as to determine if a particular blend is segregating.
Abstract:
An apparatus and method for reproducing the color of blended colorants on an electronic display such as a cathode ray tube, liquid crystal display or other type of electronic device that utilizes RGB values. Predictions of blended colorants on or in substrates can be made from XYZ measurements of samples prepared with no colorants, one colorant, and pairs of colorants. The calculation method uses light absorption, light scattering, and light absorption blend coefficients. An image digitizer can be used to obtain XYZ values from samples. Furthermore, image digitizer RGB values are converted into XYZ values with a non-linear model using a simple method. Furthermore, the above process to generate XYZ values from image digitizer RGB values can be used to generate RGB values from XYZ values for electronic display.