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Segmentation of cloud image using the feature of fractal dimension

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EN
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EN
Different ways of segmentation for cloud images have been developed. The time complexity of these algorithms become vital for implementation. Implementation of Otsu's method of thresholding for segmentation purpose take reasonable computational time for multiple class problem. In this paper, a fractal based segmentation method is developed. The technique is compared to modified version of Otsu's algorithm with reduced time complexity. The time complexity of the fractal based method is favourable and the results of segmentation are also comparable.
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  • Electronics fe Communication Sciences Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700108, India, pinak@isical. ac. in
Bibliografia
  • [1] Otsu N. (1979) A threshold selection method from grey-level histograms. IEEE Transactions on Systems, Man and Cybernetics, 9(l):62-65.
  • [2] Gonzalez R. C., Wintz P. (1987) Digital Image Processing, Addison-Wesley Publishing Company, New York.
  • [3] Sahoo P. K., Soltani S., Wong A. K. C., Chen Y. C. (1988) A survey of thresholding techniques. Computer Vision, Graphics, and Image Processing 41(2):233-260.
  • [4] Sezgin M, Sankur B. (2004) Survey over image thresholding techniques and quantative performance evalusation. Journal of Electronic Imaging, 13(1):146-165.
  • [5] Barnsley M. F., Hawley R. (2000) Fractals Everywhere, Morgan Kaufmann, second edition.
  • [6] Chanda A, Dey A. K, Das J. (1997) Fractal characterization of temperature field in convective boundary layer. Fractals, 5:267-274.
  • [7] Peitgen H. O., Jurgens H., Saupe D, (2004) Chaos and Fractals - New Frontiers of Science, Springer Verlag, New York second edition.
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Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0037-0006
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