Image analysis – Image compression or coding – Gray level to binary coding
Reexamination Certificate
2006-01-10
2006-01-10
Johns, Andrew W. (Department: 2621)
Image analysis
Image compression or coding
Gray level to binary coding
C382S199000
Reexamination Certificate
active
06985631
ABSTRACT:
In one embodiment, the present invention is related to a method for processing a digitally captured image that comprises an imaged document. The method may comprise: transforming the digitally captured image into a binary image; searching the binary image to detect a plurality of edges of the imaged document; and analyzing the detected plurality of edges to determine at least one corner associated with the imaged document; wherein the transforming, searching, and analyzing are performed by programmable logic associated with a processor-based system.
REFERENCES:
patent: 4845764 (1989-07-01), Ueda et al.
patent: 4866783 (1989-09-01), Ohyama
patent: 5420704 (1995-05-01), Winkelman
patent: 5548415 (1996-08-01), Tanaka et al.
patent: 5774237 (1998-06-01), Nako
patent: 5918192 (1999-06-01), Tomaszewski
patent: 6011635 (2000-01-01), Bungo et al.
patent: 6101274 (2000-08-01), Pizano et al.
patent: 6285800 (2001-09-01), Yamazaki et al.
patent: 6304313 (2001-10-01), Honma
patent: 6400848 (2002-06-01), Gallagher
patent: 6466693 (2002-10-01), Otsu et al.
patent: 6697497 (2004-02-01), Jensen et al.
“Geometric Correction of Digitized Art,” G. F. McLean, Graphical Models and Image Processing vol. 58 No. 2, pp. 142-154, Mar. 1996.
Alavi Amir
Johns Andrew W.
LandOfFree
Systems and methods for automatically detecting a corner in... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Systems and methods for automatically detecting a corner in..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems and methods for automatically detecting a corner in... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3536023