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:
Jun. 12, 2018

Filed:

May. 06, 2017
Applicant:

Center for Quantitative Cytometry, Sam Juam, PR (US);

Inventors:

Abraham Schwartz, San Juan, PR (US);

Philip Sherman, Cleveland, OH (US);

Peter Ingram, Raleigh, NC (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/217 (2011.01); G01J 3/28 (2006.01); H04N 5/232 (2006.01); H04N 9/09 (2006.01);
U.S. Cl.
CPC ...
H04N 5/2173 (2013.01); G01J 3/2823 (2013.01); H04N 5/23229 (2013.01); H04N 9/09 (2013.01); G01J 2003/2826 (2013.01);
Abstract

The present invention is a method of removing the illumination and background spectral components thus isolating spectra from multi-spectral and hyper-spectral data cubes. The invention accomplishes this by first balancing a reference and sample data cubes for each spectra associated with each location, or pixel/voxel, in the spatial image. The set of residual spectra produced in the balancing step is used to obtain and correct a new set of reference spectra that is used to remove the illumination and background components in a sample data cube.


Find Patent Forward Citations

Schwartz, Abraham. (2018). Method to remove the spectral components of illumination and background from multi-spectral and hyper-spectral images (U.S. Patent No. 9998636). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/9998636

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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