Adaptive image brightener in binarization problems of the text documents
DOI:
https://doi.org/10.15587/1729-4061.2011.1884Keywords:
Estimate image, enhancement, adaptive binarization, brightness, document imageAbstract
Methods and algorithms of preliminary estimate of image quality and global adaptive increase of luminance are present in this paper. It is shown that image with the promoted luminance could be binarized with the use of simple global thresholding binarization methodsReferences
- Trier D. Evaluation of Binarization Methods for Document Images / D. Trier, T. Taxt // IEEE Trans. Pattern Analysis and Machine Intelligence. –1995.– vol. 17, pp: 312-315.
- Niblack W. An introduction to digital image processing / W. Niblack // Englewood Cliffs Prentice Hall, N.J. – 1986. – pp. 115-116.
- Sauvola J. Adaptive document image binarization / J. Sauvola, M. Pietikainen // Patt. Recogn. – 2000 – vol. 33, pp. 225-236.
- Zhang Z. Restoration of images scanned from thick bound documents / Z. Zhang and C. L. Tan // Proc. Int. conf. Image Processing. – 2001. – vol. 1, pp.1074-1077.
- Wolf С. Extraction and recognition of artificial text in multimedia documents. / С. Wolf and J.-M. Jolion // Patt. Anal. Appl. – 2004. – vol. 6, no. 4, pp. 309-326.
- Leedham G. Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images. / Graham Leedham, Chen Yan, Kalyan Takru, Joie Hadi Nata Tan and Li Mian // School of Computer Engineering – 639798.
- Feng M. Contrast adaptive binarization of low quality document images / Meng-Ling Feng, Yap-Peng Tan // IEICE Electronics Express – 2004. – Val.1, No. 16. – 501-506.
- Zhu Y. Document Image Binarization Based on Stroke Enhancement / Yuanping Zhu, Chunheng Wang, Ruwei Dai // Proceedings of the 18th International Conference on Pattern Recognition. – 2006.
- Dong L. An Optimization-Based Approach to Image Binarization / Liju Dong, Ge Yu // Proceedings of the Fourth International Conference on Computer and Information Technology. – 2004.
- Kavallieratou E. A Binarization Algorithm specialized on Document Images and Photos / Ergina Kavallieratou // Proceedings of the 2005 Eight International Conference on Document Analysis and Recognition. – 2005.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2014 Віктор Іванович Загребнюк, Дмитро Дмитрович Ленік
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.
