{"title":"利用空隙度估计纺织材料的空间分布和对称性","authors":"J. Grzybowski, T. Błachowicz","doi":"10.25367/cdatp.2020.1.p180-185","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":106695,"journal":{"name":"Communications in Development and Assembling of Textile Products","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Estimation of spatial distribution and symmetry of textile materials using lacunarity\",\"authors\":\"J. Grzybowski, T. Błachowicz\",\"doi\":\"10.25367/cdatp.2020.1.p180-185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":106695,\"journal\":{\"name\":\"Communications in Development and Assembling of Textile Products\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Development and Assembling of Textile Products\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25367/cdatp.2020.1.p180-185\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Development and Assembling of Textile Products","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25367/cdatp.2020.1.p180-185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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. 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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