Image analysis – Color image processing
Reexamination Certificate
2011-04-12
2011-04-12
Do, Anh Hong (Department: 2624)
Image analysis
Color image processing
C382S165000, C382S166000, C382S167000, C382S282000
Reexamination Certificate
active
07925083
ABSTRACT:
A system and method for analyzing and classifying digital images as color, black-and-white, black-and-white with spot color, monochromatic, or monochromatic with spot color is provided. According to an embodiment of the present invention, a digital image is received and selected pixel values thereof are transformed from RGB color component values to a lightness component value and two color difference component values. The selected pixels are analyzed with respect to neutrality based upon the two color difference values and are grouped according to lightness value. The sample population distributions of each of the two color difference values are statistically analyzed for each group of pixels, and an image classification is determined by examination of the resulting statistics and derivatives thereof.
REFERENCES:
patent: 5189523 (1993-02-01), Sugiura
patent: 5282026 (1994-01-01), Nagata
patent: 5287204 (1994-02-01), Koizumi et al.
patent: 5345320 (1994-09-01), Hirota
patent: 5392365 (1995-02-01), Steinkirchner
patent: 5659407 (1997-08-01), Andresen et al.
patent: 5852501 (1998-12-01), Maehara et al.
patent: 6249592 (2001-06-01), Fan et al.
patent: 6580824 (2003-06-01), Deng et al.
patent: 6788811 (2004-09-01), Matsuura et al.
patent: 6934412 (2005-08-01), Bares
patent: 7116443 (2006-10-01), Handley et al.
Do Anh Hong
Eastman Kodak Company
Petruzzelli Justin D.
LandOfFree
Method for digital image class detection does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for digital image class detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for digital image class detection will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2649414