The stain quantification method using image analysis is excellent because it is non-destructive and applicable for non-uniformly adhered stains. The technique is difficult to adapt to colorless stains, but can be used by coloring the stains. However, low-polarity oils have poor compatibility even with oil-soluble dyes, and it is difficult to accurately quantify them from the appearance. The purpose of this paper is to examine the quantification of low-polarity oily stains by three methods: (1) search for a dye tracer suitable for non-polar oil; (2) use an ultraviolet (UV) image by mixing a fluorescent tracer; and (3) use an UV image using a model stain that absorbs UV rays. In the experiment, the soiled samples were prepared by dropping soiling liquid on a cotton fabric and washing with a tergotometer, and the cleaning efficiency was determined from the image obtained with a digital camera. Results showed that Elixa Red 348 with lower polarity than Sudan IV and Oil Red O is superior as a dye tracer for non-polar oil. In the fluorescence tracer method, the sum of G values (ΣG) in the red, green, blue signals of the image data can be used, but the decrease in fluorescence over time is a problem in the case of pyrene. It was also found that UV-absorbing stains such as alkylbenzene can be quantified from UV images by utilizing the slight fluorescence coloration of cotton fabric generated under 254 nm UV irradiation. The future potential of image analysis methods for quantifying non-polar oily stains was suggested.

使用图像分析的染色量化方法非常出色，因为它是非破坏性的，适用于不均匀粘附的染色。该技术难以适应无色污渍，但可以通过对污渍着色来使用。然而，低极性油即使与油溶性染料的相容性也很差，从外观上很难准确地量化它们。本文的目的是通过三种方法来检验低极性油性污渍的定量：（1）寻找适用于非极性油性的染料示踪剂；(2) 通过混合荧光示踪剂使用紫外 (UV) 图像；(3) 使用使用吸收紫外线的模型染色剂的紫外线图像。在实验中，污染样品是通过将污染液体滴在棉织物上并用tergotometer洗涤制备的，清洁效率由数码相机拍摄的图像确定。结果表明，极性低于苏丹IV和油红O的Elixa Red 348作为非极性油的染料示踪剂是优越的。在荧光示踪法中，总和可以使用图像数据的红色、绿色、蓝色信号中的G值 (Σ G )，但在芘的情况下，荧光随时间的减少是一个问题。还发现通过利用在 254 nm 紫外线照射下产生的棉织物的轻微荧光着色，可以从紫外线图像中量化吸收紫外线的污渍，例如烷基苯。提出了用于量化非极性油性污渍的图像分析方法的未来潜力。