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:
Aug. 28, 2007

Filed:

Dec. 29, 2003
Applicants:

Shoupu Chen, Rochester, NY (US);

Lawrence A. Ray, Rochester, NY (US);

Nathan D. Cahill, West Henrietta, NY (US);

Marvin M. Goodgame, Ontario, NY (US);

Cranos M. Williams, Morrisville, NC (US);

Inventors:

Shoupu Chen, Rochester, NY (US);

Lawrence A. Ray, Rochester, NY (US);

Nathan D. Cahill, West Henrietta, NY (US);

Marvin M. Goodgame, Ontario, NY (US);

Cranos M. Williams, Morrisville, NC (US);

Assignee:

Carestream Health, Inc., Rochester, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/32 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A digital image processing method for image registration, that acquires a reference intensity image and a floating intensity image that is to be registered; and preprocesses the reference and the floating images, before converting the preprocessed reference image to a vectorized reference image. Subsequently, the vectorized reference image is converted to a reference index image. Additional image processing includes spatially transforming the preprocessed floating image using a transformation matrix; converting the transformed floating image to a vectorized floating image; converting the vectorized floating image to a floating index image; and obtaining joint statistics of the index images. Other steps include, computing a cost function due to misalignment of the two images using the joint statistics; and updating the transformation matrix and repeating several aforementioned steps, if the cost function does not satisfy a predefined criterion, otherwise, applying the transformation matrix to an acquired floating intensity image.


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