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Method and apparatus for distinguishing between noisy continuous tone document types and other document types to maintain reliable image segmentation
| Details |
Inventors: Williams, Leon C.; Clark, Raymond J.; Schweid, Stuart A.;
Assignee: Xerox Corporation (Stamford, CT)
Primary Examiner: Johns; Andrew W.
Assistant Examiner: Azarian; Seyed
Attorney, Agent or Firm: Fay, Sharpe, Fagan, Minnich & McKee, LLP
A method and apparatus are disclosed for distinguishing noisy continuous tone document types from other document types such as halftone or text, in order to maintain reliable image segmentation. In both cases a Range of Video microclassifier is added to the other microclassifiers (Sij, estimated halftone frequency, etc.) to disqualify noisy continuous tone images from being incorrectly classified as other document types such as halftone or text document types. |
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DETAILED DESCRIPTION The present invention consists of adding a range of video requirement to a document type classification process in order to distinguish between many small video variations associated with a noisy continuous tone document type, and a smaller number of large variations associated with other document types such as halftone or text.
In accordance with one aspect of the present invention, a method for classifying a pixel of image data as one of a plurality of image types is disclosed.
The method includes the steps of determining a first image characteristic value for the pixel being classified, determining a provisional classification for the pixel being classified, and assigning an image type classification to the pixel being classified based on the first image characteristic value and the provisional classification.
In accordance with another aspect of the present invention, a system for classifying a pixel of image data according to one of a plurality of image types is disclosed.
The system includes a first mechanism for determining a first image characteristic value of the pixel being classified, a second mechanism for determining a provisional classification of the pixel being classified, a classifier for assigning an image type classification to the pixel being classified based on the first image characteristic value and the provisional classification, and a processor for image processing the pixel based on the image type classification of the pixel.
One advantage of the present invention is the provision of a method and apparatus for distinguishing between noisy continuous tone document types and other document types.
Another advantage of the present invention is the provision of a method and apparatus for providing reliable image segmentation.
Yet another advantage of the present invention is the provision of a method and apparatus that correctly renders noisy continuous tone document types.
A further advantage of the present invention is the provision of a method and apparatus that correctly identifies subsequent processing, utilization, or identification of higher level image semantics
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Image Analysis 
