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Adaptive Thresholding Methods for Documents Image Binarization

机译：文档图像二值化的自适应阈值方法

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摘要

Binarization process is easy when applying simple thresholding method onto good quality image. However, this task becomes difficult when it deals with degraded image. Most current binarization methods involve complex algorithm and less ability to recover important information from a degradation image. We introduce an adaptive binarization method to overcome the state of the art. This method also aims to solve the problem of the low contrast images and thin pen stroke problems. It can also enhance the effectiveness of solving all other problems. As well as, it does not need to specify the values of the factors manually. We compare the proposed method with known thresholding methods, which are Niblack, Sauvola, and NICK methods. The results show that the proposed method gave higher performance than previous methods.
机译：将简单的阈值化方法应用于高质量图像时，二值化过程很容易。但是，该任务在处理降级图像时变得困难。当前大多数二值化方法涉及复杂的算法，并且从退化图像中恢复重要信息的能力较低。我们介绍了一种自适应二值化方法来克服现有技术。该方法还旨在解决低对比度图像和薄笔触的问题。它还可以提高解决所有其他问题的效率。同样，它不需要手动指定因子的值。我们将提出的方法与已知的阈值方法（Niblack，Sauvola和NICK方法）进行比较。结果表明，提出的方法具有比以前的方法更高的性能。

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  • 来源
    《Pattern recognition》|2011年|p.230-239|共10页
  • 会议地点 Cancun(MX);Cancun(MX)
  • 作者

    Bilal Bataineh; Siti N.H.S. Abdullah; K. Omar; M. Faidzul;

  • 作者单位

    Center for Artificial Intelligence Technology Faculty of Information Science and Technology Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia;

    Center for Artificial Intelligence Technology Faculty of Information Science and Technology Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia;

    Center for Artificial Intelligence Technology Faculty of Information Science and Technology Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia;

    Center for Artificial Intelligence Technology Faculty of Information Science and Technology Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 模式识别与装置;
  • 关键词

    binarization; document image; thresholding method; local binarization;

    机译：二值化文件图片；阈值法；本地二值化;

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