Analysis of methods used for texture preparation for 3D visualisation of fabric porosity

Kočevar, Tanja Nuša; Tomc, Helena Gabrijelčič

doi:10.1080/00405000.2017.1423005

Cited by 2 publications

(4 citation statements)

References 24 publications

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“…This implies that automatic thresholding in Otsu and Yen thresholding algorithms are appropriate for analysis of textile samples. In addition, both algorithms proved to be the most optimal choice for determining the porosity of fabrics according to previous studies, where they allowed relevant data to be obtained and comparable porosity results on fabric images, which was not possible with the other tested algorithms [13].…”

Section: Discussionmentioning

confidence: 88%

“…The input images were thresholded using two different algorithms, Otsu [25] and Yen [26], where Otsu's algorithm automatically sets the threshold based on the variance of the histogram to achieve the lowest intensity variance, while Yen's algorithm uses quartiles to statistically determine the threshold. These two algorithms were selected based on their optimal performance in preliminary tests [13] among all the proposed algorithms of ImageJ software.…”

Section: Image Analysismentioning

confidence: 99%

“…The focus was to determine the correlation that can be used to predict fabric porosity parameters for a selected set of fabric construction parameters (yarn diameter, warp and weft density, and weave type) from the porosity results of image analysis by a computational comparison of porosity results (calculated and measured from real fabric and weave images) when using selected threshold algorithms, magnifications, and the type of sample illumination (during data acquisition). The novelty of the presented method and results lies in the number of analysed fabric samples and the carefully planned conditions for the acquisition and processing of the image information of the samples, such as illumination with reflection, transmission, and simultaneous reflection and transmission; magnification during the acquisition of the samples; and application algorithms, which have been empirically defined in several experiments as suitable for the determination of the porosity of selected fabric structures [13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of Measured and Calculated Porosity Parameters of Woven Fabrics to Results Obtained with Image Analysis

Zupin,

Štampfl,

Kočevar

et al. 2024

Materials

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Porosity, the measure of the open spaces within a fabric structure, is a decisive factor in the performance of textiles. It influences breathability, permeability to liquids or gases, and suitability for various industries such as apparel, medical, and technical textiles. This study compares classical porosity calculation methods with non-destructive image analysis for 24 woven fabric samples that differ in density and weave pattern. Factors such as fabric density, weave pattern, illumination conditions, magnification, and the influence of the Otsu and Yen threshold algorithms were considered. The multifactor ANOVA statistical analysis shows that fabric density and weave pattern significantly influence porosity, with illumination playing an important role, while the threshold algorithm has a minor influence. A strong correlation is found between the actual fabric porosity and the results of the image analysis, except for double-sided illumination (reflective and transmissive), where the correlation is weakest. This comprehensive investigation provides valuable insights into the reliability of different porosity assessment approaches, which is essential for applications in various textile industries.

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Section: Discussionmentioning

confidence: 88%

Section: Image Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Measured and Calculated Porosity Parameters of Woven Fabrics to Results Obtained with Image Analysis

Zupin,

Štampfl,

Kočevar

et al. 2024

Materials

Self Cite

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“…Due to the sophisticated interlacement and entanglement of the fibers [ 22 ], most textiles have irregularly distributed pores of different shapes and area and an uneven thickness. In terms of the latter, a textile never has an absolute planer surface.…”

Section: Methodsmentioning

confidence: 99%

Mosquito-Textile Physics: A Mathematical Roadmap to Insecticide-Free, Bite-Proof Clothing for Everyday Life

Luan

West

McCord

et al. 2021

Insects

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Garments treated with chemical insecticides are commonly used to prevent mosquito bites. Resistance to insecticides, however, is threatening the efficacy of this technology, and people are increasingly concerned about the potential health impacts of wearing insecticide-treated clothing. Here, we report a mathematical model for fabric barriers that resist bites from Aedes aegypti mosquitoes based on textile physical structure and no insecticides. The model was derived from mosquito morphometrics and analysis of mosquito biting behavior. Woven filter fabrics, precision polypropylene plates, and knitted fabrics were used for model validation. Then, based on the model predictions, prototype knitted textiles and garments were developed that prevented mosquito biting, and comfort testing showed the garments to possess superior thermophysiological properties. Our fabrics provided a three-times greater bite resistance than the insecticide-treated cloth. Our predictive model can be used to develop additional textiles in the future for garments that are highly bite resistant to mosquitoes.

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Analysis of methods used for texture preparation for 3D visualisation of fabric porosity

Cited by 2 publications

References 24 publications

Comparison of Measured and Calculated Porosity Parameters of Woven Fabrics to Results Obtained with Image Analysis

Comparison of Measured and Calculated Porosity Parameters of Woven Fabrics to Results Obtained with Image Analysis

Mosquito-Textile Physics: A Mathematical Roadmap to Insecticide-Free, Bite-Proof Clothing for Everyday Life

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