Image analysis – Image transformation or preprocessing – Correlation
Reexamination Certificate
2007-08-28
2007-08-28
Bella, Matthew C. (Department: 2624)
Image analysis
Image transformation or preprocessing
Correlation
C382S209000, C382S219000, C358S464000, C345S640000
Reexamination Certificate
active
10350722
ABSTRACT:
A repetitive surface detector includes an image capture device capturing an image. An autocorrelator receives the image and generates a signal indicative of a repetitive background of the image. A controller determines a maximum and minimum value in the auto-correlated signal. An adder determines the signed difference between the maximum and minimum value. A comparator compares the signed difference with a threshold and generates an output that indicates when the image includes a repetitive background.
REFERENCES:
patent: 5935195 (1999-08-01), Quine
patent: 6066459 (2000-05-01), Garini et al.
patent: 6111981 (2000-08-01), Tsubusaki et al.
patent: 6539106 (2003-03-01), Gallarda et al.
patent: 6654062 (2003-11-01), Numata et al.
patent: 6734913 (2004-05-01), Motta
patent: 6750974 (2004-06-01), Svetkoff et al.
patent: 6760401 (2004-07-01), Schmitz et al.
patent: 6931146 (2005-08-01), Aoki et al.
Dunn et al. “Extracting Halftones from Printed Documents Using Texture Analysis” Proceedings of the 1996 International Conference on Image Processing, pp. 225-228.
Kuo, et al. “Color Halftone Document Segmentation and Descreening,” Proceedings of the 2001 International Conference on Image Processing, pp. 1065-1068.
Brosnan Michael John
Kakarala Ramakrishna
Avago Technologies ECBU (IP) Singapore Pte. Ltd.
Kassa Yosef
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