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Using eigenvectors of a vector field for deriving a second directional derivative operator for color images

  • W. Alshatti
  • P. Lambert
Edges and Contours
Part of the Lecture Notes in Computer Science book series (LNCS, volume 719)

Abstract

Edge detection in color images could be seen as detecting changes in a vector field.This paper presents a survey on existing methods and their difficulties. A second directional derivative approach is proposed, using eigenvalues and eigenvectors of a vector field for deriving a color edge detector and avoiding some ambiguities in the gradient direction estimation. Qualitative studies are presented by applying and comparing the different technics on a real image.

Keywords

Image processing Color edge detection Color edge localization Vector field 

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References

  1. [1]
    I. E. Abdou W. K. Pratt “Quantitative Design and Evaluation of Enhancement / Thresholding edge detectors”, In Proceedings of the IEEE, vol. 67, No. 5, May 1979.Google Scholar
  2. [2]
    A. Huertas and G. Medioni “Detection of Intensity Changes with Subpixel Accuracy using Laplacian-Gaussian Masks”, IEEE Trans. Patt. Anal. Mach. Intell., vol. PAMI-8, 1986.Google Scholar
  3. [3]
    J. Canny “A Computational Approach to Edge Detection”, IEEE Trans. Patt. Anal. Mach. Intell., vol. PAMI-8,1986.Google Scholar
  4. [4]
    G. S. Robinson “Color edge detection”, Opt. Eng., vol. 16, pp. 479–484, 1977.Google Scholar
  5. [5]
    R. Nevatia “A color edge detector and its use in scene segmentation”, IEEE Trans. Syst., Man,Cybern., vol. SMC-7, pp. 820–826, 1977.Google Scholar
  6. [6]
    R. Machuca and K. PHilips “Applications of vector fields to image processing”, IEEE Trans. Patt. Anal. Mach. Intell., vol. PAMI-5, No. 3, May 1983.Google Scholar
  7. [7]
    S. Di Zenzo “A note on the gradient of multi-image”, Computer Vision, Graphics, and Image Processing, vol. 33, pp. 116–125, 1986.Google Scholar
  8. [8]
    C. L. Novak and S. A. Shafer “Color edge detection”, in Proc. DARPA Image Understanding Workshop (Los Angeles, CA), Feb. 1987. Los Altos, CA: Morgan Kaufmann Publishers, Inc., pp. 35–37.Google Scholar
  9. [9]
    H. C. Lee and D. Cok “Detection boundaries in a vector field”, IEEE Trans. Sig. Proc.,vol.39, No 5, May 1991.Google Scholar
  10. [10]
    A. Cumani “Edge detection in multispectral images”, in Graphical Models and Image Processing, vol. 53, No. 1, pp. 40–51, Jan. 1991.Google Scholar
  11. [11]
    W. Alshatti “Détecteur de contours niveaux de gris et couleurs: evaluation et étude comparative”, Technical repport No 92/08, LAMII, Oct. 1992.Google Scholar
  12. [12]
    A. Chéhikian “Algorithmes Optimaux pour la Génération de Pyramides d'Images Passe-bas et Laplaciennes”, In Traitement du Signal, vol. 9, No. 4, 1992.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • W. Alshatti
    • 1
  • P. Lambert
    • 1
  1. 1.Laboratoire d'Automatique et MicroInformatique IndustrielleLAMII/CESALP-Université de SavoieAnnecy CedexFrance

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