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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References
Rosell, G., Mendez, J.: Bone cement: prevention of exposure to its components. Technical notes. National Institute of Health and Safety at Work, Spain (2009)
Quesada, F., Charris, J., Perez, J.: Ensayos de fatiga en viga rotativa para determinar la Constante de Miner del acero Aisi 1045. Prospectiva 6(2) (2008)
Nicholson, D., Ni, P., Ahn, Y.: Probabilistic theory for mixed mode fatigue crack growth in brittle plazes with random cracks. Engineering Fracture Mechanics 66, 305–320 (2000)
Meyer, S., Bruckner-Foit, A., Moslang, A., Diegele, E.: Stochastic simulation model for microcracks in a martensitic steel. Computational Materials Science 26, 102–110 (2003)
Heron, E., Walsh, C.: A continuous latent spatial model for crack initiation in bone cement. Applied Statistics 57, 25–42 (2008)
Chiquet, J., Limnios, N., Eid, M.: Piecewise deterministic Markov processes applied to fatigue crack growth modelling. Journal of Statistical Planning and Inference 139(5), 1657–1667 (2009)
Otsu, N.: A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on System, Man, and Cybernetics SMC-9(1) (1979)
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Briceño, C., Rivera-Rovelo, J., Acuña, N. (2013). Image Analysis for Crack Detection in Bone Cement. In: Nugent, C., Coronato, A., Bravo, J. (eds) Ambient Assisted Living and Active Aging. IWAAL 2013. Lecture Notes in Computer Science, vol 8277. Springer, Cham. https://doi.org/10.1007/978-3-319-03092-0_10
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DOI: https://doi.org/10.1007/978-3-319-03092-0_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03091-3
Online ISBN: 978-3-319-03092-0
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