Estimation of spatial distribution and symmetry of textile materials using lacunarity
Numerical classification of textile materials, aramid, viscose, and PAN/WV, is proposed using lacunarity analysis of monochromatic digital representation of optical microscopic images. The method is sensitive to the spatial distribution of fibers, and equivalently, to the empty spaces between them....
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
TU Dresden; Faculty of Mechanical Science and Engineering;Chair of Development and Assembly of Textile Products
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f46b12410be749c8bf20106fb0f98286 |
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| Sumario: | Numerical classification of textile materials, aramid, viscose, and PAN/WV, is proposed using lacunarity analysis of monochromatic digital representation of optical microscopic images. The method is sensitive to the spatial distribution of fibers, and equivalently, to the empty spaces between them. This means that lacunarity is able to quantitatively express a given level of spatial in-plane symmetries of single-face fabrics. |
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