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Adaptive edge detection method for images

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Fifth Symposjum on Image Processing Technology (TPO 2006) ; (5 ; 21-23.11.2006 ; Serock, Poland)
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EN
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The novel two-dimensional (2D) wavelet with anisotropic property and application of it has been presented. Wavelet is constructed in the polar coordinate system to obtain anisotropic properties. A novel edge detection method has been developed with the aid of this wavelet. This method detects gradient jump and than follows along this jump. In this way the number of calculation for edge localization is reduced. Moreover, the presented method is able to detect all edges in an image in multi-scale together with its spatial orientation. Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.
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Bibliografia
  • 1. D.H. Hubel and T.N. Weisel, "Receptive fields, binocular interaction and functional architecture in the cat's visual cortex", J. Physiol. 160, 106-156 (1962).
  • 2. B.A. Olshausen and D.J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images", Nature 381, 607-609 (1996).
  • 3. M.N. Do and M. Vetterli, "Contourlets", in Beyond Wavelets, pp. 1-27, edited by J. Stoecker and G.V. Welland Academic Press, 2002.
  • 4. E.J. Cand'es and D.L. Donoho, "Curvelets - a surprisingly effective nonadaptive representation for objects with edges", in Curve and Surface Fitting, edited by A. Cohen, C. Rabut, and L.L. Schumaker, Saint-Malo: Vanderbilt University Press, 1999.
  • 5. M.N. Do and M. Vetterli, "The contourlet transform: An efficient directional multiresolution image representation", IEEE T. Image Process. 14, 2091-2106 (2005).
  • 6. E.J. Cand'es and D.L. Donoho, "New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities", Commun. Pure Appl. Math. 57, 219-266 (2002).
  • 7. M.N. Do and M. Vetterli, "The finite ridgelet transform for image representation", IEEE T. Image Process. 12, 16-28 (2003).
  • 8. A. Walczak and L. Puzio, "2D wavelet with position controlled resolution", Proc. SPIE 5759, 59-30 (2005).
  • 9. "Windowed functions", www.wikipedia.org, 2006.
  • 10. S.G. Mallat, "Multiresolution approximations and wavelet orthonormal bases of L2(R)", Trans. Am. Math. Soc. 315, 69-87 (1989).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA9-0021-0010
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