Image analysis for crack detection in bone cement

Carlos Briceño, Jorge Rivera-Rovelo, Narciso Acuña

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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.

Lingua originaleEnglish
Titolo della pubblicazione ospiteAmbient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings
EditoreSpringer Verlag
Pagine67-70
Numero di pagine4
ISBN (stampa)9783319030913
DOI
Stato di pubblicazionePublished - 1 gen 2013
Pubblicato esternamente
Evento5th International Work Conference on Ambient Assisted Living, IWAAL 2013 - Carrillo
Durata: 2 dic 20136 dic 2013

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8277 LNCS
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

Conference

Conference5th International Work Conference on Ambient Assisted Living, IWAAL 2013
Paese/TerritorioCosta Rica
CittàCarrillo
Periodo2/12/136/12/13

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