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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Jorge, Rn
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Topics
Publications (8/8 displayed)
- 2018A methodology for a global-local fatigue analysis of ancient riveted metallic bridgescitations
- 2017The computational analysis of composite laminates: Meshless formulation
- 2015A Structural Damage Model for Pelvic Floor Muscles
- 2014Study on the forming of sandwich shells with closed-cell foam corescitations
- 2011Modeling of Sandwich Sheets with Metallic Foamcitations
- 2011FEM analysis of Sandwich Shells with Metallic Foam Corescitations
- 2011NUMERICAL AND EXPERIMENTAL STUDY OF SANDWICH PLATES WITH METALLIC FOAM CORES
- 2008Image processing on the Poisson ratio calculation of soft tissues
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document
Image processing on the Poisson ratio calculation of soft tissues
Abstract
An image processing based method of calculating Poisson's ratio is proposed. This approach combines pure geometrical analysis with an optimization based tracking technique. The images were obtained from the video recordings of uniaxial tension tests. The tested materials were prolapsed human vaginal tissues, which are soft, highly hydrated tissues. Due to the lack of distinctive characteristics on the sample's face (acting as tracking marks), an algorithm that extracts information from the RGB codes of a given region (mask) and tracks it's subsequent evolution was implemented. There were no additional markings (purposely made) on the samples. The image processing software solution that implements the algorithm, was developed using MATLAB(R) and some functions from the image processing toolbox (IPT) were used.