Method and apparatus for image classification

Image analysis – Image segmentation – Distinguishing text from other regions

Reexamination Certificate

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C382S253000, C382S224000, C358S420000

Reexamination Certificate

active

07106901

ABSTRACT:
This invention relates to a method and apparatus for image classification. More particularly, the present invention provides a technique to classify an image as a picture, a graphic or a mixed mode image. The classification is based on an approximation of a segmentation. The approximation is HVQ-LUT-based and outputs classification maps indicating whether pixels are background, text or pictures. Said classification maps are filtered to eliminate odd isolated samples and the resulting count of picture, text and background pixel is analyzed before concluding whether the image has pictorial, graphical or mixed contents.

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patent: 5949555 (1999-09-01), Sakai et al.
patent: 6205256 (2001-03-01), Chaddha
patent: 6404923 (2002-06-01), Chaddha
patent: 6470052 (2002-10-01), Nguyen et al.
Hui Chang and Charles A. Bouman, “Trainable Context Model for Multiscale Segmentation”,IEEE, 1998.
Anuradha Aiyere and Robert M. Gray, “A Fast, Table-Lookup Algorithm for Classifying Document Images”.
ICIP-94, vol. III of III,IEEE, pp. 275-279, 1994.

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