Extracting halftones from printed documents using texture analysis

Dennis F. Dunn; Thomas P. Weldon; William E. Higgins

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Extracting halftones from printed documents using texture analysis

机译：Extracting halftones from printed documents using texture analysis

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Separating halftones from text is an important step in document analysis. We present an algorithm that accurately extracts half-l tones 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 pro vide experimental results. # 1997 Society of Photo-Optical Instrumentation Engineers. S0091-3286(97)02504-X Subject terms: halftones; spectral analysis: document analysis; Gabor filters; texture segmentation; texture analysis. Paper 32066 received June 24, 1996; revised manuscript received Nov. 9, 1996 accepted for publication Nov. 11, 1996.

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《Optical Engineering》 |1997年第6期|1044-1052|共9页
作者
Dennis F. Dunn; Thomas P. Weldon; William E. Higgins;
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The Pennsylvania State University Department of Computer Science and Engineering/ 103 Pond Laboratory University Park, Pennsylvania 16802 E-mail: dunn @ cse.psu.edu;

University of North Carolina at Charlotte Department of Electrical Engineering/ Charlotte, North Carolina 28223;

The Pennsylvania State University Departments of Electrical Engineering, Computer Science and Engineering, and Bioengineering/ 209F Electrical Engineering West University Park, Pennsylvania 16802;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
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Extracting halftones from printed documents using texture analysis

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