ESTIMATION OF APPROPRIATE PARAMETER VALUES FOR DOCUMENT BINARIZATION TECHNIQUES

E. Badekas and N. Papamarkos

References

  1. [1] N. Otsu, A thresholding selection method from gray-level histogram, IEEE Transactions on Systems, Man, and Cybernetics, SMC-8, 1978, 62–66.
  2. [2] J. Kittler & J. Illingworth, Minimum error thresholding, Pattern Recognition, 19 (1), 1986, 41–47.
  3. [3] S.S. Reddi, S.F. Rudin, & H.R. Keshavan, An optimal multiple threshold scheme for image segmentation, IEEE Transactions on Systems, Man, and Cybernetics, 14 (4), 1984, 661–665.
  4. [4] J.N. Kapur, P.K. Sahoo, & A.K. Wong, A new method for gray-level picture thresholding using the Entropy of the histogram, Computer Vision Graphics and Image Processing, 29, 1985, 273–285.
  5. [5] N. Papamarkos & B. Gatos, A new approach for multithreshold selection, Computer Vision Graphics and Image Processing, 56 (5), 1994, 357–370.
  6. [6] J. Bernsen, Dynamic thresholding of grey-level images, Proc. Eighth Int. Conf. Pattern Recognition, Paris, 1986, 1251–1255.
  7. [7] C.K. Chow & T. Kaneko, Automatic detection of the left ventricle from cineangiograms, Computers and Biomedical Research, 5, 1972, 388–410.
  8. [8] L. Eikvil, T. Taxt, & K. Moen, A fast adaptive method for binarization of document images, Proc. ICDAR, France, 1991, 435–443.
  9. [9] K.V. Mardia & T.J. Hainsworth, A spatial thresholding method for image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 10 (8), 1988, 919–927.
  10. [10] W. Niblack, An introduction to digital image processing (Englewood Cliffs, NJ: Prentice Hall, 1986), 115–116.
  11. [11] T. Taxt, P.J. Flynn, & A.K. Jain, Segmentation of document images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 (12), 1989, 1322–1329.
  12. [12] S.D. Yanowitz & A.M. Bruckstein, A new method for image segmentation, Computer Vision, Graphics and Image Processing, 46 (1), 1989, 82–95.
  13. [13] J. Sauvola, T. Seppanen, S. Haapakoski, & M. Pietikainen, Adaptive Document Binarization, ICDAR, Ulm, Germany, 1997, 147–152.
  14. [14] J. Sauvola & M. Pietikainen, Adaptive document image binarization, Pattern Recognition, 33, 2000, 225–236.
  15. [15] M. Kamel & A. Zhao, Extraction of binary character/graphics images from gray-scale document images, CVGIP: Graphical Models Image Processing, 55 (3), 1993, 203–217.
  16. [16] Y. Yang & H. Yan, An adaptive logical method for binarization of degraded document images, Pattern Recognition, 33, 2000, 787–807.
  17. [17] J.M. White & G.D. Rohrer, Image segmentation for optical character recognition and other applications requiring character image extraction, IBM J. Res. Dev., 27 (4), 1983, 400–411.
  18. [18] O.D. Trier & T. Taxt, Improvement of “Integrated Function Algorithm for binarization of document images, Pattern Recognition Letters, 16, 1995, 277–283.
  19. [19] Z. Chi, H. Yan, & T. Pham, Fuzzy algorithms: With applications to image processing and pattern recognition (World Scientific Publishing, 1996).
  20. [20] N. Papamarkos, A neuro-fuzzy technique for document binarization, Neural Computing & Applications, 12(3–4), 2003, 190–199.
  21. [21] N. Papamarkos, C. Strouthopoulos, & I. Andreadis, Multi-thresholding of color and gray-level images through a neural network technique, Image and Vision Computing, 18, 2000, 213–222.
  22. [22] N. Papamarkos & A. Atsalakis, Gray-level reduction using local spatial features, Computer Vision and Image Understanding, 78, 2000, 336–350.
  23. [23] N. Papamarkos, A. Atsalakis, & C. Strouthopoulos, Adaptive color reduction, IEEE Transactions on Systems, Man, and Cybernetics—Part B, 32(1), 2002, 44–56.
  24. [24] O.D. Trier & T. Taxt, Evaluation of binarization methods for document images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (3), 1995, 312–315.
  25. [25] O.D. Trier & A.K. Jain, Goal-directed evaluation of binarization methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (12), 1995, 1191–1201.
  26. [26] G. Leedham, C. Yan, K. Takru, & J.H. Mian, Comparison of some thresholding algorithms for text/background segmentation in difficult document images, Proc. of 7th ICDAR (2), Scotland, 2003, 859–865.
  27. [27] M. Sezgin & B. Sankur, Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging, 13 (1), 2004, 146–165.
  28. [28] Y. Yitzhaky & E. Peli, A method for objective edge detection evaluation and detector parameter selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(8), 2003, 1027–1033.
  29. [29] E. Badekas & N. Papamarkos, A system for document binarization, 3rd International Symposium on Image and Signal Processing and Analysis ISPA, 2003, Rome, Italy.
  30. [30] UW: English Document Image Database, University of Washington, Seattle, 1993.
  31. [31] B. Gatos, I. Pratikakis, & S.J. Perantonis, Adaptive degraded document image binarization, Pattern Recognition, 39, 2006, 317–327.

Important Links:

Go Back