Related Experiment Video
Updated: Apr 29, 2026
10:22
Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure
Published on: February 12, 2018
10.2K
Fibre analysis in 3D materials and process validation on artificial data
M Couprie1, S Meulenyzer, M A Salem
1Université Paris-Est, Laboratoire d'Informatique Gaspard-Monge, équipe A3SI, ESIEE Paris, Marne la Vallée, France.
Journal of Microscopy
|May 20, 2014
Summary
This study introduces a novel fiber analysis method for 3D tomography images, enabling precise characterization of fibrous material microstructures and providing data for material property estimation.
Area of Science:
- Materials Science
- Image Analysis
- Computational Mechanics
Background:
- Fibrous material properties depend heavily on microstructure.
- Accurate characterization requires individual fiber analysis.
- Current methods may lack precision in fiber segmentation.
Purpose of the Study:
- Develop an advanced fiber analysis method for 3D greyscale tomography images.
- Enable precise segmentation of individual fibers from background noise.
- Provide foundational data for material property estimation models.
Main Methods:
- Image segmentation using skeletonization of the fiber mass.
- Geometrical analysis of the derived fiber skeleton.
- Computation of fiber characteristics like length and orientation.
Main Results:
- Successfully segmented individual fibers from 3D tomography data.
- Enabled calculation of key fiber metrics (length, orientation, contacts).
- Validated method reliability against artificial ground-truth data.
Conclusions:
- The developed fiber analysis method offers accurate microstructure characterization.
- This technique supports the development of predictive material models.
- Reliable fiber analysis is crucial for understanding and engineering fibrous materials.
