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A locally adaptive, diffusion based text binarization technique
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DOI：10.1016/j.amc.2015.07.091.png)
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摘要
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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. (C) 2015 Elsevier Inc. All rights reserved.
Keyword:
Binarization
Image denoising
Diffusion
Fitzhugh-Nagumo
Document image
GPGPU
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期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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