Better threshold selection approach for document image binarization

Qing Wang; Rongchun Zhao; Zheru Chi

Better threshold selection approach for document image binarization

Qing Wang, Rongchun Zhao, Zheru Chi

Research output: Journal article publication › Journal article › Academic research › peer-review

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 language	English
Pages (from-to)	396-399
Number of pages	4
Journal	Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume	20
Issue number	3
Publication status	Published - 1 Aug 2002
Externally published	Yes

Keywords

Binarization
Document image
Membership function

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Better threshold selection approach for document image binarization",

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.",

keywords = "Binarization, Document image, Membership function",

author = "Qing Wang and Rongchun Zhao and Zheru Chi",

year = "2002",

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language = "English",

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pages = "396--399",

journal = "Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University",

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T1 - Better threshold selection approach for document image binarization

AU - Wang, Qing

AU - Zhao, Rongchun

AU - Chi, Zheru

PY - 2002/8/1

Y1 - 2002/8/1

N2 - 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.

AB - 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.

KW - Binarization

KW - Document image

KW - Membership function

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M3 - Journal article

SN - 1000-2758

VL - 20

SP - 396

EP - 399

JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

IS - 3

ER -

Better threshold selection approach for document image binarization

Abstract

Keywords

ASJC Scopus subject areas

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