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Scaling properties of image textures: A detrending fluctuation analysis approach

Author

Listed:
  • Alvarez-Ramirez, Jose
  • Rodriguez, Eduardo
  • Cervantes, Ilse
  • Carlos Echeverria, Juan

Abstract

The aim of this paper is to explore the application of detrended fluctuation analysis (DFA) to study roughness features of images. Unidimensional sequences at different image orientations are extracted and their average scaling exponent is estimated. In this form, the existence of anisotropies can be detected when considerable variations in the scaling exponent at different image orientation are observed. Different images from grass to solar granulation are analyzed and the underlying physics of such results is briefly commented.

Suggested Citation

  • Alvarez-Ramirez, Jose & Rodriguez, Eduardo & Cervantes, Ilse & Carlos Echeverria, Juan, 2006. "Scaling properties of image textures: A detrending fluctuation analysis approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(2), pages 677-698.
    • Handle: RePEc:eee:phsmap:v:361:y:2006:i:2:p:677-698
    DOI: 10.1016/j.physa.2005.06.082
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    Citations

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    Cited by:

    1. Zunino, Luciano & Ribeiro, Haroldo V., 2016. "Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 679-688.
    2. López, J.L. & Veleva, L., 2022. "2D-DFA as a tool for non-destructive characterisation of copper surface exposed to substitute ocean water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    3. Vargas-Olmos, C. & Murguía, J.S. & Ramírez-Torres, M.T. & Mejía Carlos, M. & Rosu, H.C. & González-Aguilar, H., 2016. "Perceptual security of encrypted images based on wavelet scaling analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 22-30.

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