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Extracting halftones from printed documents using texture analysis
Home
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Extracting halftones from printed documents using texture analysis
Extracting halftones from printed documents using texture analysis
TW
Thomas P. Weldon
Thomas P. Weldon
DD
Dennis F. Dunn
Dennis F. Dunn
WH
William E. Higgins
William E. Higgins
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1 April 1997
journal article
Published by
SPIE-Intl Soc Optical Eng
in
Optical Engineering
Vol. 36
(4)
,
1044-1052
https://doi.org/10.1117/1.601289
Abstract
Separating halftones from text is an important step in document analysis. We present an algorithm that accurately extracts halftones from other information in printed documents. We treat halftone extraction as a texture-segmentation problem. We show that commonly used halftones, consisting of a pattern of dots, can be viewed as a texture. This texture exhibits a distinct spectral component that can be detected using a properly tuned Gabor filter. The Gabor filter essentially transforms halftones into high-contrast regions that can be easily segmented by thresholding. We propose a filter design procedure and provide experimental results. ©
1997 Society of Photo-Optical Instrumentation Engineers.
Keywords
HALFTONES
GABOR FILTER
SEGMENTATION
TEXTURE
EXTRACTS
PRINTED DOCUMENTS
HALFTONE EXTRACTION
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Open Access
Cited by 11 articles