A fiber-segmentation algorithm for composites imaged using X-ray microtomography: Development and validation
| Autor: | Michael W. Czabaj, William W. Whitacre, Peter J. Creveling |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Materials science
X-ray microtomography Pixel Template matching Resolution (electron density) Centroid 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Mechanics of Materials Ceramics and Composites Segmentation Fiber Composite material 0210 nano-technology Algorithm Image resolution |
| Zdroj: | Composites Part A: Applied Science and Manufacturing. 126:105606 |
| ISSN: | 1359-835X |
| DOI: | 10.1016/j.compositesa.2019.105606 |
| Popis: | This study proposes a new algorithm for three-dimensional segmentation of fibers in multi-directional fiber-reinforced composites (FRCs) imaged using X-ray microtomography (µCT). The proposed algorithm uses synthetic fiber-templates and template matching to detect fibers in 2D. Detections are used to track individual fibers in 3D using a Kalman-filter estimator. Validation of the algorithm was performed using synthetic image stacks, which mimicked the quality and resolution of existing state-of-the-art X-ray systems. Segmentation of synthetic images revealed that the proposed algorithm estimates the total number of fibers, the 3D positions of fiber cross-sectional centroids, and fiber lengths with an error less than 7% when the image resolution is greater than 9 pixels per average fiber diameter. However, the segmentation algorithm was found to underestimate fiber cross-sectional areas due to beam-hardening artifacts. This study concludes by demonstrating the versatility of the algorithm on a multi-directional FRC imaged using X-ray µCT. |
| Databáze: | OpenAIRE |
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