Image analysis – Image segmentation – Distinguishing text from other regions
Patent
1993-12-21
1996-08-13
Mancuso, Joseph
Image analysis
Image segmentation
Distinguishing text from other regions
G06K 934
Patent
active
055464742
ABSTRACT:
A method for classifying regions in a digital image as either photo regions or non-photo regions is presented. A digital image is divided into regions and each region is divided into a plurality of cells. Each cell comprises a group of pixels represented by one or more digital bits. Features of a cell such as its graylevel spread, or the moment of inertia of its co-occurrence matrix, are used to determine the likelihood that the cell is a photo cell or a non-photo cell. Based on this likelihood, the cell is classified as either a photo cell, a non-photo cell, or is unclassified. Classified cell is used in conjunction with unclassified cells to grow regions that can be characterized as photo regions or non-photo regions. Once a region is classified as a photo region or a non-photo region a decision is made regarding the number of bits per pixel needed to adequately represent that region.
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Del Rosso Gerard
Hewlett--Packard Company
Mancuso Joseph
LandOfFree
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