Image analysis – Image segmentation – Distinguishing text from other regions
Reexamination Certificate
2007-07-24
2007-07-24
Mancuso, Joseph (Department: 2624)
Image analysis
Image segmentation
Distinguishing text from other regions
C382S226000, C358S462000
Reexamination Certificate
active
10261296
ABSTRACT:
Document processing and understanding can be important for a variety of applications such as office automation, creation of electronic manuals, online documentation and annotation, etc. The first step towards this process can involve the decomposition of a page into separate units describing the text, graphics, pictures etc. Towards that end, a method of page decomposition comprises segmenting an image into a plurality of blocks according to an amount of information contained in each block, classifying each block according to a corresponding frequency spectrum, and refining a classification of each block.
REFERENCES:
patent: 4741046 (1988-04-01), Matsunawa et al.
patent: 5661820 (1997-08-01), Kegelmeyer, Jr.
patent: 6175592 (2001-01-01), Kim et al.
patent: 6307952 (2001-10-01), Dietz
patent: 7068398 (2006-06-01), Rijavec
patent: 2002/0076049 (2002-06-01), Boykin et al.
patent: 2003/0088825 (2003-05-01), Chakraborty
Jia Li, Text and Picture Segmentation by the Distribution Analysis of Wavelet Coefficients, IEEE 1998, pp. 790-794.
Multiscale segmentation of unstructured document pages using soft decision integration; Etemad, K.; Doermann, D.; Chellappa, R.;Pattern Analysis and Machine Intelligence, IEEE Transactions on vol. 19, Issue 1, Jan. 1997 pp. 92-96.
Akhavannik Hadi
F. Chau & Associates LLC
Mancuso Joseph
Paschburg Donald B.
Siemens Corporate Research Inc.
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