Scaling properties of image textures: A detrending fluctuation analysis approach

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

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

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.

Original languageEnglish
Pages (from-to)677-698
Number of pages22
JournalPhysica A: Statistical Mechanics and its Applications
Volume361
Issue number2
DOIs
StatePublished - 1 Mar 2006

Keywords

  • Detrended fluctuations analysis (DFA)
  • Images
  • Roughness
  • Texture analysis

Fingerprint

Dive into the research topics of 'Scaling properties of image textures: A detrending fluctuation analysis approach'. Together they form a unique fingerprint.

Cite this