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Image Analysis for Crack Detection in Bone Cement

  • Carlos Briceño
  • Jorge Rivera-Rovelo
  • Narciso Acuña
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8277)

Abstract

This work deals with crack detection in images of bone cements and the method can be applied to other materials. Crack detection and measures obtained from images are useful to characterize the materials, and how the crack evolves according to the effort the material is subject to. This allows to make changes in the composition of the material in order to make it more resistant. The method presented consists of several stages: noise reduction, shadow elimination, image segmentation and path detection for crack analysis. At the end of the analysis of one image, the number of cracks and the length of each one can be obtained. If a video is analyzed, the evolution of cracks in the material can be observed.

Keywords

Fatigue Crack Growth Bone Cement Crack Detection Minimum Length Path Path Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Carlos Briceño
    • 1
  • Jorge Rivera-Rovelo
    • 1
  • Narciso Acuña
    • 1
  1. 1.Universidad Anahuac MayabMexico

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