Texture Classification of Phases of Ti-6Al-4V Titanium Alloy Using Fractal Descriptors

  • André R. Backes
  • Jarbas Joaci de Mesquita Sá JuniorEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10657)


Traditionally, the evaluation of metal microstructures and their physical properties is a subject of study in Metallography. Through microscopy, we obtain images of the microstructures of the material evaluated, while a human expert performs its analysis. However, texture is an important image descriptor as it is directly related to the physical properties of the surface of the object. Thus, in this paper, we propose to use texture analysis methods to automatically classify metal microstructures, more specifically, the phases of a Titanium alloy, Ti-6Al-4V. We performed texture analysis using the Bouligand-Minkowski fractal dimension method, which enables us to describe a texture image in terms of its irregularity. Experiments were performed using 3900 texture samples of 2 different phases of the titanium alloy. We used LDA (Linear Discriminant Analysis) to evaluate computed texture descriptors. The results indicated that fractal dimension is a feasibility tool for the evaluation of the microstructures present in the metal samples.


Ti-6Al-4V Texture Complexity analysis Automated visual inspection Titanium 



André R. Backes gratefully acknowledges the financial support of CNPq (National Council for Scientific and Technological Development, Brazil) (Grant #302416/2015-3), FAPEMIG (Foundation to the Support of Research in Minas Gerais) (Grant #APQ-03437-15) and PROPP-UFU. Jarbas Joaci de Mesquita Sá Junior acknowledges the financial support of CNPq (Grant 453835/2017-1). We also thank the authors of the paper [6] for kindly providing the titanium alloy images used in this paper.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • André R. Backes
    • 1
  • Jarbas Joaci de Mesquita Sá Junior
    • 2
    Email author
  1. 1.Faculdade de ComputaçãoUniversidade Federal de UberlândiaUberlândiaBrazil
  2. 2.Curso de Engenharia de Computação Campus de SobralUniversidade Federal do CearáSobralBrazil

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