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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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Ferreira, Antonio
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Topics
Publications (6/6 displayed)
- 2022Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field modelcitations
- 2017The computational analysis of composite laminates: Meshless formulation
- 2008Image processing on the Poisson ratio calculation of soft tissues
- 2005Reinforced polymer concrete: Physical properties of the matrix and static/dynamic bond behaviourcitations
- 2004A contribution to the study of the fracture energy of polymer concrete and fibre reinforced polymer concretecitations
- 2002The evolution of morphology and kinetics during the foaming process of aluminium foamscitations
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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.