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Conclusions

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

Abstract

Binarization, as an early stage of image processing, is quite crucial in terms of reducing redundant information from the image. A grayscale image can be segmented in two groups as object and background by using a binarization technique. In other words, binarization reduces the space of pixel intensities to {0, 1} from a broader range of values [0, 255] in case of 8-bit grayscale images.

Keywords

  • Document Image
  • Binarization Method
  • Binarization Algorithm
  • Local Partitioning
  • Binarization Technique

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Nabendu Chaki .

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© 2014 Springer India

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Chaki, N., Shaikh, S.H., Saeed, K. (2014). Conclusions. In: Exploring Image Binarization Techniques. Studies in Computational Intelligence, vol 560. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1907-1_6

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  • DOI: https://doi.org/10.1007/978-81-322-1907-1_6

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1906-4

  • Online ISBN: 978-81-322-1907-1

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