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Modelling the spectrum of the fourier transform of the texture in the solar EIT images

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
Języki publikacji
EN
Abstrakty
EN
We present a phenomenological parametric model for the spectrum of the discrete Fourier transform [DFT] of the images obtained from the Extreme UV Imaging Telescope [EIT] of the SOHO mission. As this spectrum decays very fast, we model its logarithm rather than the original spectrum. The proposed model is rotation-invariant. The vicinity of the direct current [DC] component of the logarithm of the spectrum is modelled by the sum of two exponential functions, while the region of high frequencies is modelled by a single exponential function summed with a constant. We discuss a method for fitting the model to the experimental data, show the results of numerical experiments, and discuss various measures of goodness of the fit. The fitting of the described model was carried out for a sequence of images covering one year, and the time evolution of the measures of goodness of fit is also presented.
Słowa kluczowe
Rocznik
Strony
285--295
Opis fizyczny
Bibliogr. 16 poz., wykr., il.
Twórcy
autor
  • Institute of Fundamental Technological Research, Warsaw, Poland
Bibliografia
  • [1] Liu F., Picard R.: Periodicity, directionally, and randomness: Wold features for images modeling and retrieval. IEEE Trans. PAMI, 18 (7), 722-733, 1996.
  • [2] Moses D., Clette F., et al.: EIT observations of the extreme ultraviolet sun. Solar Phys., 175(2), 571-599, 1997.
  • [3] Pikaz A., Averbuch A.: An efficient topological characterization of gray-levels textures, using a multiresolution representation. Graph. Models and Images Proc., 59(1), 1-17, 1997.
  • [4] Portilla J., Simoncelli E.: Texture modelling and synthesis using joint statistics of compex wavelet coefficients. IEEE Workshop on Statistical and Comput. Theories of Vision, Fort Collins, CO, USA, 1999.
  • [5] Huang Y., Chang K., Huang Z.: An adaptive model for texture analysis. Int'l Conf. on Image Proc., Vancouver, BC, Canada, 276-279, 2000.
  • [6] Hjelmås E., Low B.: Face detection: a survey. Comput. Vision and Image Understand., 83(3), 236-274, 2001.
  • [7] Ilow J., Leung H.: Self-similar texture modelling using FARIMA process with applications to satellite images. IEEE Trans. Image Proc., 10(5), 792-797, 2001.
  • [8] Kopparapu S., Desai U.: Bayesian approach to image interpretation. Kluwer, Boston, USA, 2001.
  • [9] Murdin P. (editor): Encyclopedia of Astronomy and Astrophysics. Nature Publishing Group, London, UK, 2001.
  • [10] Portier-Fozzani F., Vandame B., et al.: A multiscale vision model applied to analyze EIT images of the solar corona. Solar Phys., 201(2), 271-287, 2001.
  • [11] Hochedez J.-F., Jacques L., et al.: Small features in the EIT-SOHO images. ESA SP-508, 295-298, 2002.
  • [12] Jähne B.: Digital Image Processing. Springer, New York, NJ, USA, 2002.
  • [13] Nixon M., Aguado A.: Feature extraction and image processing. Newnes, Oxford, UK, 2002.
  • [14] Schmeelk J.: Wavelet transforms on two-dimensional images. Math, and Comp. Mod., 36(7), 939-948, 2002.
  • [15] Srivastava A., Liu X., Grenander U.: Universal analytical forms for modeling image probabilities. IEEE Trans. PAMI, 24(9), 1200-1214, 2002.
  • [16] Ravindra B., Venkatakrishnan P.: Structure and evolution of the transition region network observed in He II A 304. Solar Phys., 215(2), 239-259, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0025-0005
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