The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 10, 2009

Filed:

Jan. 30, 2006
Applicants:

Douglas Kreysar, Duvall, WA (US);

Matthew Lekson, Woodinville, WA (US);

Gary Robert Pedeville, Duvall, WA (US);

Inventors:

Douglas Kreysar, Duvall, WA (US);

Matthew Lekson, Woodinville, WA (US);

Gary Robert Pedeville, Duvall, WA (US);

Assignee:

Radiant Imaging, Inc., Duvall, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 21/25 (2006.01);
U.S. Cl.
CPC ...
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.


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