Image analysis to evaluate removal of particles from fabric surface

IF 1.6 4区工程技术 Q2 MATERIALS SCIENCE, TEXTILES

Textile Research Journal Pub Date : 2024-08-27 DOI:10.1177/00405175241267788

Yoonkyung Cho, Sungmin Kim

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引用次数: 0

Abstract

We propose an objective method to quantify the solid-particle removal rate from fabric. The method extracts the ratio ( K/S) λ of light absorption K to scattering S at wavelength λ from fused digital images captured under a stereo photometric system in which illumination is from four directions. Three different white polyester fabrics were contaminated with iron oxide particles. Digital images of the fabrics were obtained before contamination, then before and after cleaning. The ( K/S) λ ratios extracted from images were used in a fabric-detergency formula to determine the solid-particle removal rate. Digital image acquisition conditions were optimized to minimize the effects of fabric structural factors. Our method was faster, more accurate, and cheaper than existing methods. Moreover, it is nondestructive and does not require a tracer. The average accuracy of the proposed method was improved by 44.77% compared with the existing surface reflectance method and by 42.51% compared with the binary image method. Moreover, the accuracy was further increased by calculating ( K/S) λ for a signal that corresponds to the color of the contaminant particles. This method can be used to quantify the effectiveness of self-cleaning textiles and garment-care machines.

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通过图像分析评估织物表面颗粒的去除情况

我们提出了一种量化织物固体颗粒去除率的客观方法。该方法从立体光度测量系统下捕获的融合数字图像中提取波长 λ 处的光吸收 K 与散射 S 之比 ( K/S) λ。三种不同的白色聚酯织物被氧化铁颗粒污染。织物的数字图像是在污染前、清洁前和清洁后获得的。从图像中提取的 ( K/S) λ 比率被用于织物清洁度公式，以确定固体颗粒去除率。对数字图像采集条件进行了优化，以尽量减少织物结构因素的影响。与现有方法相比，我们的方法更快、更准确、更便宜。此外，它是无损的，不需要示踪剂。与现有的表面反射率方法相比，拟议方法的平均准确度提高了 44.77%，与二值图像方法相比，提高了 42.51%。此外，通过计算与污染物颗粒颜色相对应的信号 ( K/S) λ，准确度进一步提高。这种方法可用于量化自清洁纺织品和服装护理机器的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Textile Research Journal 工程技术-材料科学：纺织

CiteScore

4.00

自引率

21.70%

发文量

309

审稿时长

1.5 months

期刊介绍： The Textile Research Journal is the leading peer reviewed Journal for textile research. It is devoted to the dissemination of fundamental, theoretical and applied scientific knowledge in materials, chemistry, manufacture and system sciences related to fibers, fibrous assemblies and textiles. The Journal serves authors and subscribers worldwide, and it is selective in accepting contributions on the basis of merit, novelty and originality.