Abstract:
Systems and methods for applying different color calibrations at different locations in an imaging photometer measurement are disclosed herein. In one embodiment for example, a method for measuring a source of light having a first area with a first spectral distribution and a second area having a second spectral power distribution different than the first spectral power distribution can include selecting one or more data points in the first area for measurement. The method then includes applying a calibration to the selected data points in the first area such that a desired colorimetric result is displayed for each data point in a single colorimetric measurement of the first area. In several embodiments, the method can further include selecting one or more data points in the second area, and then applying a different calibration to the selected portions of the second area such that a desired calorimetric result is also displayed for each data point in the second area.
Abstract:
Methods and apparatuses for determining a color calibration for different spectral light inputs in an imaging apparatus measurement are disclosed herein. In one embodiment, for example, a method for determining a color calibration for different spectral light inputs in an imaging apparatus measurement can include creating a reference color calibration and a reference luminance scaling calibration for each of a plurality of colors. The method can also include measuring a reference gray value R, G, B for each color in an image measurement of the light source. The method can further include calculating an R, G, B gray value for a first pixel in each of three filtered image measurements. The method can then include calculating pixel ratio values from each of the three first pixel gray values and comparing the reference gray values to the pixel ratio values to determine which one or more reference gray values are closest to the pixel ratio values. The method further includes calculating X, Y, Z values for the first pixel in the image measurement, and then repeating the steps of the method beginning with calculating an R, G, B gray value for each subsequent pixel in the image measurement.
Abstract:
Systems and methods for applying different color calibrations at different locations in an imaging photometer measurement are disclosed herein. In one embodiment, a method for measuring a light source having a first area with a first spectral distribution and a second area having a second spectral power distribution can include selecting one or more data points in the first area for measurement. The method then includes applying a calibration to the selected data points in the first area such that a desired colorimetric result is displayed for each data point in a single colorimetric measurement of the first area. In several embodiments, the method can further include selecting one or more data points in the second area, and applying a different calibration to the selected portions of the second area such that a desired colorimetric result is also displayed for each data point in the second area.
Abstract:
Rotary shutter assemblies for imaging photometers and methods for using such shutters are disclosed herein. In one embodiment, for example, a method for capturing an image with an imaging photometer can include positioning a rotary shutter having an aperture at a first position such that the shutter blocks light traveling along an optical axis from a light source being measured to an image sensor of the photometer. The method can include pivotably moving the shutter at a generally constant angular speed to a second position with the aperture aligned with the optical axis to expose at least a portion of the image sensor to the light for a first predetermined exposure time. After exposing each portion of the image sensor to the light for the first exposure time, the method can include pivotably moving the shutter at the angular speed to a third position such the aperture is not aligned the optical axis, and then pivotably moving the shutter from the third position back to the first position without rotating the shutter 360 degrees.
Abstract:
Rotary shutter assemblies for imaging photometers and methods for using such shutters are disclosed herein. In one embodiment, for example, a method for capturing an image with an imaging photometer can include positioning a rotary shutter having an aperture at a first position such that the shutter blocks light traveling along an optical axis from a light source being measured to an image sensor of the photometer. The method can include pivotably moving the shutter at a generally constant angular speed to a second position with the aperture aligned with the optical axis to expose at least a portion of the image sensor to the light for a first predetermined exposure time. After exposing each portion of the image sensor to the light for the first exposure time, the method can include pivotably moving the shutter at the angular speed to a third position such the aperture is not aligned the optical axis, and then pivotably moving the shutter from the third position back to the first position without rotating the shutter 360 degrees.
Abstract:
Methods and apparatuses for determining a color calibration for different spectral light inputs in an imaging apparatus measurement are disclosed herein. In one embodiment, for example, a method for determining a color calibration for different spectral light inputs in an imaging apparatus measurement can include creating a reference color calibration and a reference luminance scaling calibration for each of a plurality of colors. The method can also include measuring a reference gray value R, G, B for each color in an image measurement of the light source. The method can further include calculating an R, G, B gray value for a first pixel in each of three filtered image measurements. The method can then include calculating pixel ratio values from each of the three first pixel gray values and comparing the reference gray values to the pixel ratio values to determine which one or more reference gray values are closest to the pixel ratio values. The method further includes calculating X, Y, Z values for the first pixel in the image measurement, and then repeating the steps of the method beginning with calculating an R, G, B gray value for each subsequent pixel in the image measurement.