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International Work-Conference on Artificial Neural Networks

IWANN 2001: Bio-Inspired Applications of Connectionism pp 336–344Cite as

An Approach Fractal and Analysis of Variogram for Edge Detection of Biomedical Images

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

Abstract

In this work, we study a fractal approach of edge detection. This approach is based on the evaluation of the local fractal dimension (in every pixel of the image) by using Gabor filtering. Gabor Filters use several parameters, as: radial frequency ρ and angular frequency θ. As we will see the choice of these parameters influence directly on the edge detection. Our contribution is using a mathematical tool said variogram that is going to guide us in the selection of the angular frequency θ. The method is based on exploitation of local indications that permits to affirm the existence of edge in an image on a direction θ. Results of edge detection are better since there is extraction in privileged directions of the image.

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Author information

Authors and Affiliations

  1. Polytechnic National School Department of electronics, 182, 16200, El-Harrach Alger

    L. Hamami & N. Lassouaoui

Authors
  1. L. Hamami
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  2. N. Lassouaoui
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Hamami, L., Lassouaoui, N. (2001). An Approach Fractal and Analysis of Variogram for Edge Detection of Biomedical Images. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_40

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  • DOI: https://doi.org/10.1007/3-540-45723-2_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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