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Color image reconstruction from Charlier moments

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this research, we conducted a study on Charlier polynomials and discrete orthogonal Charlier moments. With the three channel method, we have carried out the color image reconstructions from Charlier moments with satisfied results. Our experimental results show that the color images can be precisely reconstructed in each of three primary color channels individually. We conclude that the moment methods developed for gray-level images can be applied in color image analysis.
Słowa kluczowe
Rocznik
Strony
3--13
Opis fizyczny
Bibliogr. 17 poz., rys., wz.
Twórcy
autor
  • The University of Winnipeg, Canada
autor
  • The University of Winnipeg, Canada
Bibliografia
  • [1] Hu, M.-K.: Visual pattern recognition by moment invariants. Information Theory, IRE Transactions on, 8(2), pp. 179–187, 1962.
  • [2] Teague, M. R.: Image analysis via the general theory of moments*. JOSA, 70(8), pp. 920–930, 1980.
  • [3] Teh, C.-H., Chin, R. T.: On image analysis by the methods of moments. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 10(4), pp. 496–513, 1988.
  • [4] Liao, S. X., Pawlak, M.: On image analysis by moments. Pattern analysis and machine intelligence, IEEE Transactions on, 18(3), pp. 254–266, 1996.
  • [5] Liao, S. X., Pawlak, M.: On the accuracy of Zernike moments for image analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 20(12), pp. 1358–1364, 1998.
  • [6] Chong, C.-W., Raveendran, P., Mukundan, R.: Translation and scale invariants of Legendre moments. Pattern Recognition, 37(1), pp. 119–129, 2004.
  • [7] Liao, S.: Accuracy Analysis of Moment Functions. Moments and Moment Invariants – Theory and Applications, edited by George A. Papakostas, 1, pp. 33–56, 2014.
  • [8] Mukundan, R., Ong, S., Lee, P. A.: Image analysis by Tchebichef moments. Image Processing, IEEE Transactions on, 10(9), pp. 1357–1364, 2001.
  • [9] Yap, P.-T., Paramesran, R., Ong, S.-H.: Image analysis by Krawtchouk moments. Image Processing, IEEE Transactions on, 12(11), pp. 1367–1377, 2003.
  • [10] Yap, P.-T., Paramesran, R., Ong, S.-H.: Image analysis using Hahn moments. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 29(11), pp. 2057–2062, 2007.
  • [11] Zhu, H., Shu, H., Liang, J., Luo, L., Coatrieux, J.-L.: Image analysis by discrete orthogonal Racah moments. Signal Processing, 87(4), pp. 687–708, 2007.
  • [12] Zhu, H., Liu, M., Shu, H., Zhang, H., Luo, L.: General form for obtaining discrete orthogonal moments. IET image processing, 4(5), pp. 335–352, 2010.
  • [13] Hmimid, A., Sayyouri, M., Qjidaa, H.: Image classification using novel set of Charlier moment invariants. WSEAS Trans Signal Process, 10(1), pp. 156–167, 2014.
  • [14] Nikiforov, A. F., Uvarov, V. B., Suslov, S. K.: Classical orthogonal polynomials of a discrete variable. Springer, 1991.
  • [15] Zhu, H., Liu, M., Li, Y., Shu, H., Zhang, H.: Image description with nonseparable two-dimensional Charlier and Meixner moments. International Journal of Pattern Recognition and Artificial Intelligence, 25(01), pp. 37–55, 2011.
  • [16] Gonzalez, R., Woods, R.: Digital Image Processing: Pearson Prentice Hall. Upper Saddle River, NJ, 2008.
  • [17] Wang, X., Liao, S.: Image analysis by orthogonal fourier-mellin moments. Journal of Theoretical and Applied Computer Science, 7(1), pp. 70–78, 2013.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0ec5fd65-f85d-4f9a-ad7d-c34ecd3476f7
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