A locally adaptive, diffusion based text binarization technique

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

This research proposes an adaptive modification to a novel diffusion based text binarization technique. This technique uses linear diffusion with a nonlinear source term to achieve a binarizing effect. This simple isotropic process is compared to the state-of-the-art DIBCO contestants and produces remarkable results given the simplicity of the algorithm. Furthermore, the authors show how using a simple discretization scheme allows for the massively parallel implementation of this process.

Original languageEnglish
Pages (from-to)464-472
Number of pages9
JournalApplied Mathematics and Computation
Volume269
DOIs
Publication statusPublished - 17 Aug 2015
Externally publishedYes

Keywords

  • Binarization
  • Diffusion
  • Document image
  • Fitzhugh-Nagumo
  • GPGPU
  • Image denoising

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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