Kostajnšek Klara, Zupin Živa, Hladnik Aleš, Dimitrovski Krste
Department of Textiles, Graphics Art and Design, Faculty for Natural Sciences and Engineering, University of Ljubljana, Snežniška 5, 1000 Ljubljana, Slovenia.
Polymers (Basel). 2021 Jan 27;13(3):408. doi: 10.3390/polym13030408.
This paper deals with the possibility of a fast and accurate assessment of the number, size, and distribution of pores in transparent woven fabrics based on light penetration. The procedure of analyzing the pore structure in the fabrics based on a digital image is presented in detail. Fabric pores are treated as image particles and analyzed with the Java-based image processing software ImageJ. The obtained data relate to the constructional parameters of the fabric that allow for further analysis, provide the possibility to compare structurally similar or different samples as well as double check the results generated by optical or other means. This paper describes work on plain and similar to plain weaves. The conducted analysis revealed several expected and some unexpected results. Among the former, we can list the range of pore sizes in the examined woven fabrics, the distribution of pores in regard to their similarity, and the effect of dents. Examples of the latter are the magnitude of the cumulative percentage of pores in regard to the weave and the degree to which they participate in the inter-yarn and inter-fiber pores.
本文探讨了基于光穿透对透明机织物中孔隙数量、尺寸和分布进行快速准确评估的可能性。详细介绍了基于数字图像分析织物孔隙结构的过程。织物孔隙被视为图像颗粒，并使用基于Java的图像处理软件ImageJ进行分析。获得的数据与织物的结构参数相关，这些参数有助于进一步分析，提供了比较结构相似或不同样品的可能性，以及对光学或其他方法产生的结果进行双重检查的可能性。本文描述了平纹及类似平纹组织的研究工作。所进行的分析揭示了一些预期和一些意外的结果。在前者中，我们可以列出所检查机织物的孔隙尺寸范围、孔隙在相似性方面的分布以及筘齿的影响。后者的例子有孔隙累积百分比相对于组织的大小以及它们参与纱线间和纤维间孔隙的程度。
