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Machine Vision and Applications

, Volume 24, Issue 2, pp 337–350 | Cite as

A new image binarization method using iterative partitioning

  • Soharab Hossain Shaikh
  • Asis Kumar Maiti
  • Nabendu ChakiEmail author
Original Paper

Abstract

This paper proposes a new method for image binarization that uses an iterative partitioning approach. The proposed method has been tested towards binarization of both document and graphic images. The quantitative comparisons with other standard methods reveal that the proposed approach outperforms existing widely used binarization techniques in terms of accuracy of binarization. The experimental results further establish the superiority of the proposed method, especially for degraded documents and graphic images. The proposed algorithm is suitable for a multi-core processing environment as it can be split into multiple parallel units of executions after the initial partitioning.

Keywords

Iterative partitioning Image binarization Local thresholding Misclassification error Relative foreground area error 

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Soharab Hossain Shaikh
    • 1
  • Asis Kumar Maiti
    • 1
  • Nabendu Chaki
    • 1
    Email author
  1. 1.University of CalcuttaKolkataIndia

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