Image analysis for crack detection in bone cement

Carlos Briceño; Jorge Rivera-Rovelo; Narciso Acuña

doi:10.1007/978-3-319-03092-0_10

Image analysis for crack detection in bone cement

Carlos Briceño, Jorge Rivera-Rovelo, Narciso Acuña

Universidad Anáhuac Mayab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings
Publisher	Springer Verlag
Pages	67-70
Number of pages	4
ISBN (Print)	9783319030913
DOIs	https://doi.org/10.1007/978-3-319-03092-0_10
State	Published - 1 Jan 2013
Externally published	Yes
Event	5th International Work Conference on Ambient Assisted Living, IWAAL 2013 - Carrillo, Costa Rica Duration: 2 Dec 2013 → 6 Dec 2013

Publication series

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

Conference

Conference	5th International Work Conference on Ambient Assisted Living, IWAAL 2013
Country/Territory	Costa Rica
City	Carrillo
Period	2/12/13 → 6/12/13

Access to Document

10.1007/978-3-319-03092-0_10

Cite this

Briceño, C., Rivera-Rovelo, J., & Acuña, N. (2013). Image analysis for crack detection in bone cement. In Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings (pp. 67-70). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8277 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-03092-0_10

Briceño, Carlos ; Rivera-Rovelo, Jorge ; Acuña, Narciso. / Image analysis for crack detection in bone cement. Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings. Springer Verlag, 2013. pp. 67-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a956d49967aa4a9c86bf9ccdc09b0ceb,

title = "Image analysis for crack detection in bone cement",

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.",

author = "Carlos Brice{\~n}o and Jorge Rivera-Rovelo and Narciso Acu{\~n}a",

year = "2013",

month = jan,

day = "1",

doi = "10.1007/978-3-319-03092-0_10",

language = "Ingl{\'e}s",

isbn = "9783319030913",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "67--70",

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

note = "5th International Work Conference on Ambient Assisted Living, IWAAL 2013 ; Conference date: 02-12-2013 Through 06-12-2013",

}

Briceño, C, Rivera-Rovelo, J & Acuña, N 2013, Image analysis for crack detection in bone cement. in Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8277 LNCS, Springer Verlag, pp. 67-70, 5th International Work Conference on Ambient Assisted Living, IWAAL 2013, Carrillo, Costa Rica, 2/12/13. https://doi.org/10.1007/978-3-319-03092-0_10

Image analysis for crack detection in bone cement. / Briceño, Carlos; Rivera-Rovelo, Jorge; Acuña, Narciso.
Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings. Springer Verlag, 2013. p. 67-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8277 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Image analysis for crack detection in bone cement

AU - Briceño, Carlos

AU - Rivera-Rovelo, Jorge

AU - Acuña, Narciso

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84893899443&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-03092-0_10

DO - 10.1007/978-3-319-03092-0_10

M3 - Contribución a la conferencia

AN - SCOPUS:84893899443

SN - 9783319030913

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 67

EP - 70

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

PB - Springer Verlag

T2 - 5th International Work Conference on Ambient Assisted Living, IWAAL 2013

Y2 - 2 December 2013 through 6 December 2013

ER -

Briceño C, Rivera-Rovelo J, Acuña N. Image analysis for crack detection in bone cement. In Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Proceedings. Springer Verlag. 2013. p. 67-70. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-03092-0_10

Image analysis for crack detection in bone cement

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this