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A New Image Binarization Technique Using Iterative Partitioning

Chapter
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Part of the Studies in Computational Intelligence book series (SCI, volume 560)

Abstract

In this chapter, a new technique for image binarization is presented and discussed intensively. The worked-out algorithm is mainly based on the idea of iterative partitioning. The authors show how this approach outperforms the existing and widely used binarization methods in terms of accuracy. The algorithm is introduced with its computer implementation to show how it performs in practice.

Keywords

Iterative partitioning Histogram analysis Image partitioning Noise reduction Histogram peak Multi-modal histogram Reference image Majority voting 

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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Computer Science and EngineeringUniversity of CalcuttaKolkataIndia
  2. 2.A. K. Choudhury School of Information TechnologyUniversity of CalcuttaKolkataIndia
  3. 3.Physics and Applied Computer ScienceAGH University of Science and TechnologyKrakówPoland

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