Development of Cleaning Evaluation Application Using Hue Change as a Parameter

Authors

DOI:

https://doi.org/10.5566/ias.2660

Keywords:

cleaning, color, hue, image analysis, iron dioxide, Kubelka-Munk formula

Abstract

In the cleaning field, there is a method to evaluate the amount of soiling by processing the color signal of a soiled sample’s image using the Kubelka-Munka formula, but this method could not be adapted to the case where the hue changes drastically during cleaning or washing. In this study, we aimed to construct a system to quantify the amount of soiling corresponding to the hue change. In other word, this is the sturdy for image analysis of individual measuring devices, which is an extension of the cleaning rate analysis, especially in cleaning tests. We conducted a cleaning experiment using soiled fabrics of iron oxide as a representative dirt model of drastic hue changes because its hue changes from yellowish-brown to black by reduction process. Then we calculated the cleaning rate of the dirt on the soiled fabric by the image analysis, conventional method using Kubelka-Munka formula, and X-ray Fluorescence (XRF) analysis, and we evaluated the accuracy of the proposed method of the image analysis by comparing the results of XRF.As a result, first it was found that the hue changes of iron oxides due to reduction could be clearly captured as a color signal, and the degree of reduction of iron oxides could be determined from the Chromaticity Diagram Value, xy value. Using the results, we were able to construct an application that can easily determine the amount of soiling adhesion by recalculating the hue change as a variable. The cleaning rate calculated by the image analysis application showed a significant improvement compared to the one calculated by the conventional appearance evaluation method. This achievement has greatly expanded the range of objects for which the amount of soiling from the exterior can be evaluated.

References

Abril HC, Valencia E, Millan MS (2008). Objective assessment of wrinkled fabrics by optical and digital image processing. RIAO/OPTILAS 2007 992:1045-50

An GS, Yu R, Kim Y (2017). Fabrication of beta-FeOOH@Hollow SiO2 particles and their coloration behavior via annealing temperature. J Ceram Process Res 18:743-7

Chen C, Zhang M, Chen HZ (2021). 4D printing of lotus root powder gel: Color change induced by microwave. Innov Food Sci Emerg Technol 68

DOI: 10.1016/j.ifset.2021.102605

Chen J, He Q (2020). Tea disease spot recognition based on image feature points extraction and matching. Glob Nest J 22:492-501

DOI: 10.30955/gnj.003375

Chen JJ, Shugar A, Jehle A (2019). X-radiography of cultural heritage materials using handheld XRF spectrometers. Xray Spectrom 48:311-8

DOI: 10.1002/xrs.2947

Daurelio G, Chita G, Cinquepalmi M (1997). New laser surface treatments: cleaning, de-rusting, de-oiling, de-painting, de-oxidizing and de-greasing. Lasers Manuf Mater Process 3097:369-91

Dobrusina SA, Volgushkina NS, Gerasimova NG (2011). How photobleaching affects water colors when graphic works are being restored. J Opt Technol 78:675-9

DOI: 10.1364/JOT.78.000675

Ene A, Bosneaga A, Georgescu L (2010). Determination of heavy metals in soils using XRF technique. Romanian J Phys 55:815-20

Fernandes RBA, Barron V, Torrent J, Fontes MPF (2004). Quantification of iron oxides in Brazilian latosols by diffuse reflectance spectroscopy. Rev Bras Cienc Solo 28:245-57

Ghauch A, Deveau PA, Baussand P (2006). Use of FTIR spectroscopy coupled with ATR for the determination of atmospheric compounds. Talanta 68:1294-302

DOI: 10.1016/j.talanta.2005.07.046

Gomez-Robledo L, Melgosa M, Heredia FJ (2008). Virgin-Olive-Oil Color in Relation to Sample Thickness and the Measurement Method. J Am Oil Chem Soc 85:1063-71

DOI: 10.1007/s11746-008-1291-1

Goncalves IG, Petter CO, Machado JL (2012).Quantification of hematite and goethite concentrations in kaolin using diffuse reflectance spectroscopy: a new approach to Kubelka-Munk theory. Clays Clay Miner 60:473-83

DOI: 10.1346/CCMN.2012.0600504

Gotoh K, Harayama K, Handa K (2015). Combination effect of ultrasound and shake as a mechanical action for textile cleaning. Ultrason Sonochem 22:412-21

DOI: 10.1016/j.ultsonch.2014.05.005

Gotoh K, Horibe K, Tsujisaka T (2016). Effects of Water Hardness on Textile Detergency Performance in Aqueous Cleaning Systems. J Oleo Sci 65:123-33

DOI: 10.5650/jos.ess15168

Hayati NH, Yusoff I, Ashraf MA (2014). Ionic liquid as a medium to remove iron and other metal ions: a case study of the North Kelantan Aquifer, Malaysia. Environ Earth Sci 71:2105-13

DOI: 10.1007/s12665-013-2615-5

Horf M, Gebbers R, Olfs HW(2021). Determination of Nutrients in Liquid Manures and Biogas Digestates by Portable Energy-Dispersive X-ray Fluorescence Spectrometry. Sensors 21 (11)

DOI: 10.3390/s21113892

Ishikawa Y, Orito S, Oya M (2006). Washing efficiency analysis based on a concept of statistical distribution. J Oleo Sci 55:511-9.

DOI: 10.5650/jos.55.511

Ishikawa Y, Oya M (2005). Detergency evaluation by image processing system using multiple regression analysis. Jpn Res Assn Text End Use 46:367-73.

DOI: 10.11419/senshoshi1960.46.367

Ishikawa Y, Oya M (2008). Detergency evaluation of spotted ferric oxide with an image processing system. Jpn Res Assn Text End Use 49:280-3.

DOI: 10.11419/senshoshi1960.49.280

Jacobi G, Solo-Gabriele H, Dubey B (2007). Evaluation of methods for sorting CCA-treated wood. Waste Manage 27:1617-25

DOI: 10.1016/j.wasman.2006.09.014

Keiko Sugita, Oya M (2021). Improvement of the image analysis method for quantifying low-polarity oily stains on fabric. Text Res J

DOI: 10.1177/00405175211041719

Kirchner E, van der Lans I, Delaney, J (2018). Digitally reconstructing Van Gogh's Field with Irises near Arles. part 1: Varnish. Color Res Appl 43:150-7

DOI: 10.1002/col.22162

Kojima Y, Oya M (2015). Development of an image data application for measuring the amount of white soil adhered to dark-colored substrates. Jpn Res Assn Text End Use 55:670-6.

DOI: 10.11419/senshoshi.55.9_670

Kojima Y, Oya M (2015). Comparison test of oily soil removal of Japanese laundry detergents using a regression formula to derive soil quantity from K/S value of colored oil. Tenside Surfactants Deterg 52:5-11.

DOI: 10.3139/113.110342

Kozak J, Jodlowska N, Koscielniak P (2011). Simple flow injection method for simultaneous spectrophotometric determination of Fe(II) and Fe(III). Anal Chim Acta 702:213-7

DOI: 10.1016/j.aca.2011.06.053

Lee SO, Tran T, Jung BH, Kim SJ, Kim MJ (2007). Dissolution of iron oxide using oxalic acid. Hydrometallurgy. 87:91-9

DOI: 10.1016/j.hydromet.2007.02.005

Li XM, Liu TX, Li YT (2012). Reduction of structural Fe(III) in oxyhydroxides by Shewanella decolorationis S12 and characterization of the surface properties of iron minerals. J Soils Sediments 12:217-27

DOI: 10.1007/s11368-011-0433-5

Mejia-Pina KG, Huerta-Diaz MA, Gonzalez-Yajimovich O (2016). Calibration of handheld X-ray fluorescence (XRF) equipment for optimum determination of elemental concentrations in sediment samples. Talanta 161:359-67

DOI: 10.1016/j.talanta.2016.08.066

Micheli L, Mazzuca C, Sotgiu S (2018). Interdisciplinary approach to develop a disposable real time monitoring tool for the cleaning of graphic artworks: Application on "le Nozze di Psiche". Microchem J 138:369-78

DOI: 10.1016/j.microc.2018.01.022

Milhomem FO, Luz JAM (2018). Colorimetric image analysis for hematite grade estimation. J Mater Res 40:155-62

Miyazaki A, Oya M (2003). An evaluation of the amount of soil for washing and cleaning study by digital image processing on a PC. Jpn Res Assn Text End Use 44: 407-413.

DOI: 10.11419/senshoshi1960.44.407

Muto K, Oya M (2011). Quantitative determination of colored oily soil adhering to metal surface using digital image data. J Oleo Sci 60:505-13.

DOI: 10.5650/jos.60.505

Ohtsuka T, Tanaka S (2015). Monitoring the development of rust layers on weathering steel using in situ Raman spectroscopy under wet-and-dry cyclic conditions. J Solid State Electrochem 19:3559-66

DOI: 10.1007/s10008-015-2825-8

Pradhan SK, Ambade B,Tarafder PK (2019). Speciation of Fe (II) and Fe (III) in Geological Samples by Solvent Extraction and Flame Atomic Absorption Spectrometry (FAAS). At Spectrosc 40:145-51

DOI: 10.46770/AS.2019.04.006

Reagan MM, Gleason AE, Mao WL (2016). High-pressure behavior of the polymorphs of FeOOH. Am Mineral 101:1483-8

DOI: 10.2138/am-2016-5449

Suksulap J, Suwanruji P, Setthayanond J (2014). Preparation and Characterization of Cellulose Films with Curcumin. J Mater Res Technol 1:835-6

DOI: 10.4028/www.scientific.net/AMR.834-836.555

Suzuki S, Shinoda K, Waseda Y (2008). Changes in chemical state and local structure of green rust by addition of copper sulphate ions. Corros Sci 50:1761-5

DOI: 10.1016/j.corsci.2008.02.022

Tzagkaroulakis I, Boxall C, Trivedi D (2017). Real-Time Nanogravimetric Monitoring of Corrosion in Radioactive Decontamination Systems. MRS Adv 2:577-82

DOI: 10.1557/adv.2016.645

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Published

2022-07-07

How to Cite

Tsukizawa, T., Nakamura, T., & Oya, M. (2022). Development of Cleaning Evaluation Application Using Hue Change as a Parameter. Image Analysis and Stereology, 41(2), 111–120. https://doi.org/10.5566/ias.2660

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Original Research Paper