FRACTAL IMAGE FEATURE VECTORS WITH APPLICATIONS IN FRACTOGRAPHY

Authors

  • Hynek Lauschmann
  • Petr Bednařík
  • Zuzana Sekerešová
  • Michal Beneš

DOI:

https://doi.org/10.5566/ias.v27.p63-71

Keywords:

crack growth rate, fatigue, fractal, fractography, multifractal

Abstract

The morphology of fatigue fracture surface (caused by constant cycle loading) is strictly related to crack growth rate. This relation may be expressed, among other methods, by means of fractal analysis. Fractal dimension as a single numerical value is not sufficient. Two types of fractal feature vectors are discussed: multifractal and multiparametric. For analysis of images, the box-counting method for 3D is applied with respect to the non-homogeneity of dimensions (two in space, one in brightness). Examples of application are shown: images of several fracture surfaces are analyzed and related to crack growth rate.

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Published

2011-05-03

Issue

Section

Original Research Paper

How to Cite

Lauschmann, H., Bednařík, P., Sekerešová, Z., & Beneš, M. (2011). FRACTAL IMAGE FEATURE VECTORS WITH APPLICATIONS IN FRACTOGRAPHY. Image Analysis and Stereology, 27(2), 63-71. https://doi.org/10.5566/ias.v27.p63-71

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