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Image analysis for crack detection in bone cement

  • Universidad Anáhuac Mayab
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 67-70 (4 pages)

Publication milestones

  • Published - 01/01/2013

Publication status

Published - 01/01/2013

Publisher

Springer Verlag

Publication series

  • Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN (Print): 0302-9743
    ISSN (Electronic): 1611-3349
    Volume: 8277 LNCS

ISBN (Print)

9783319030913

Publication IDs

  • Scopus: 84893899443

Host publication title

Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings

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.

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