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....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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TU Dresden
2020-12-01
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| Series: | Communications in Development and Assembling of Textile Products |
| Subjects: | |
| Online Access: | https://journals.qucosa.de/cdatp/article/view/31 |
| Summary: | 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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| ISSN: | 2701-939X |