Better threshold selection approach for document image binarization

Qing Wang, Rongchun Zhao, Zheru Chi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Local thresholding approach is slow and prone to give ghost image. We present a hybrid threshold approach which can avoid these disadvantages. The way of the hybrid approach to synthesize global thresholding and local area information and to construct and extended membership function to describe how much the pixel belongs to the stroke or background is studied. Simulation results indicate that the hybrid approach is robust to noise and makes the stroke connectivity better.
Original languageEnglish
Pages (from-to)396-399
Number of pages4
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume20
Issue number3
Publication statusPublished - 1 Aug 2002
Externally publishedYes

Keywords

  • Binarization
  • Document image
  • Membership function

ASJC Scopus subject areas

  • Engineering(all)

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