Abstract:
In one or more implementations, the apparatus, systems and methods disclosed herein are directed to calibrating a smart phone with an arbitrary phone case for color lookup applications, wherein the calibration process includes obtaining, with the smartphone without the case equipped, a first measurement data set that includes at least one measurement of each of a black, white and grey calibration target; obtaining, with the smartphone with the case equipped, at least three exposure measurements of a white calibration target at least three different exposure times; calculating an optimized exposure time using at least the at least three exposure measurements; obtaining, with the smartphone with the case equipped, a second measurement data set that includes at least one measurement of each of a black, white and grey calibration target at the optimized exposure time; generating fitting parameters from the first and second measurement datasets; and storing the generated fitting parameters and optimized exposure time in at least one of a local or remote data storage device.
Abstract:
Systems, methods and computer program products for segmenting colors in a sample image comprised of pixels using a processor configured by code executing for selecting at least one color value present within the sample image and for each color selected from the sample image comparing the color values of each pixel of the sample image to the selected color value and averaging the color values of each pixels of the sample image having a color value difference below a pre-determined threshold. The method also includes outputting the average color value as a color value data object; and associating each averaged color value with sample image.
Abstract:
A method and a system are provided to measure transmittance or reflectance of a color specimen by using a transformation matrix obtained from the measurement values of a series of known transmittance or reflectance calibration color standards and multiple flashes from different illumination sources. A color spectrum can be determined with reduced error by calculating the reflectance spectra of an object using measurement matrices obtained under at least two illuminants and the transformation matrix.
Abstract:
A method includes controlling an integrated camera of a mobile device to detect a plurality of fiducial markers displayed as part of a test pattern on a display surface of a color display device, wherein the test pattern is one of a plurality of test patterns, estimating a position of the integrated camera relative to the display surface, using the plurality of fiducial markers, augmenting a live image of the test pattern on a display of the mobile device with an overlay, controlling, in response to a position of the overlay being aligned on the display of the mobile device with the live image of the test pattern, the integrated camera to capture an image of the test pattern, and calculating an adjustment to a color setting of the color display device, wherein the adjustment is calculated using information extracted from the image.
Abstract:
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.
Abstract:
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.
Abstract:
A system and method are disclosed for correcting the color of microscope images for different illuminants. The system includes a microscope having at least one image setting value selector with a plurality of pre-set positions, and an optical train having a distal end and a proximal end and being configured to convey illumination. The optical train is further configured to allow introduction of a calibration slide into the optical train of the microscope at a plurality of possible positions, each position being a conjugate plane of the sample plane, when the sample is in focus. The calibration slide incorporates an integral transmission filter array of known transmission values.
Abstract:
A processing system of a mobile device acquires an image of an object of a target color, wherein the image was captured by an integrated digital camera of the mobile device, calculates a first plurality of values that describes the target color, and wherein the calculating is based on an analysis of a pixel of the image, and identifies a first candidate color from among a plurality of candidate colors, wherein each candidate color in the plurality of candidate colors is associated with a second set of values that describes the each candidate color, and wherein the second set of values describing the first candidate color matches the first set of values more closely than any second set of values associated with another candidate color of the plurality of candidate colors.
Abstract:
In one or more implementations, the apparatus, systems and methods disclosed herein are directed to calibrating a smart phone with an arbitrary phone case for color lookup applications, wherein the calibration process includes obtaining, with the smartphone without the case equipped, a first measurement data set that includes at least one measurement of each of a black, white and grey calibration target; obtaining, with the smartphone with the case equipped, at least three exposure measurements of a white calibration target at least three different exposure times; calculating an optimized exposure time using at least the at least three exposure measurements; obtaining, with the smartphone with the case equipped, a second measurement data set that includes at least one measurement of each of a black, white and grey calibration target at the optimized exposure time; generating fitting parameters from the first and second measurement datasets; and storing the generated fitting parameters and optimized exposure time in at least one of a local or remote data storage device.
Abstract:
Systems, methods and computer program products for segmenting colors in a sample image comprised of pixels using a processor configured by code executing for selecting at least one color value present within the sample image and for each color selected from the sample image comparing the color values of each pixel of the sample image to the selected color value and averaging the color values of each pixels of the sample image having a color value difference below a pre-determined threshold. The method also includes outputting the average color value as a color value data object; and associating each averaged color value with sample image.