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An Application to the Treatment of Geophysical Images through Orthogonal Projections

  • Sixto Romero
  • Francisco Moreno
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3039)

Abstract

The present work provides the generalization to the approach proposed by Frei and Chen to square masks of any dimension for line and edge detection in digital images. It is completed with the application of the designed algorithm to the image of a archaeological site, that to our judgement permit us to establish an correlation between the mathematical results and results of the archaeologicals explorations

Keywords

Grey Level Edge Detection Projection Matrix Vector Subspace Projection Matrice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Noble, B., Daniel Janes, W.: Applied Linear Algebra. Prentice-Hall, New York (1982)Google Scholar
  2. 2.
    Burton, H., Wiejak, J.S.: Convolution with separable mask for early image processing. Computer Vision, Graphics and Image Processing 32, 279–290 (1985)CrossRefGoogle Scholar
  3. 3.
    González, C.R., Woods Richard, E.: Digital Image Processing. Addison-Wesley, Massachusetts (1992)Google Scholar
  4. 4.
    Park, D.J.: Edge detection in noisy images based on the co-ocurrence matrix. Pattern Recognition 27, 765–774 (1994)CrossRefGoogle Scholar
  5. 5.
    Gómez Lopera, J.F.: An analysis of edge detection by using the jensen-shannon divergence. Journal of Mathematical Imaging and Vision 13, 35–56 (2000)zbMATHCrossRefMathSciNetGoogle Scholar
  6. 6.
    Pratt William, K.: Digital Image Processing. John Wiley & Sons, INC., New York (2001)CrossRefGoogle Scholar
  7. 7.
    Romero, S.: Modelización Matemática y Tratamiento Digital de Imágenes Geofísicas Aplicadas a la Restitución Histórica: Programa PROSPECT. IGIDL-Lisboa 1, 273–274 (2000)Google Scholar
  8. 8.
    Frei, W., Chen, C.C.: Fast Boundary Detection: A Generalization and a New Algorithm. IEEE Trans. Computer 26, 988–998 (1977)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Sixto Romero
    • 1
  • Francisco Moreno
    • 1
  1. 1.Escuela Politécnica Superior La RábidaPalos de la Frontera, HuelvaSpain

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