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This project performs a 3D reconstruction of a cylindrical asphalt mixture sample from a set images on a Dicom file format. The components of asphalt mixture will be identified through 3-phase segmentation. Additionally, a 3D model of the asphalt mixture reconstruction was developed. The project was implemented on the Python programming language using the open-source libraries Numpy, Scipy, Pydicom, Scikit-learn, Matplotlib and Mayavi. A simulation of the asphalt mixtures aging process is implemented using numerical methods on the mechanical, themical and chemical fields.

Home Page: http://asphalt-mixtures-aging-simulator.readthedocs.org

License: GNU General Public License v3.0

Python 100.00%
asphalt-mixture simulation multiphysics image-processing segmentation python 3d-reconstruction pydicom mayavi 3d-models

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