DEVELOPMENT OF CLEANING EVALUATION APPLICATION USING HUE CHANGE AS A PARAMETER

• Published in: Image analysis & stereology Vol. 41; no. 2; pp. 111 - 120
• Main Authors: Tsukizawa, Toru, Nakamura, Tatsuya, Oya, Masaru
• Format: Journal Article
• Language: English
• Published: Slovenian Society for Stereology and Quantitative Image Analysis 07.07.2022
• Subjects: cleaning; color; hue; image analysis; iron dioxide; kubelka-munk formula
• ISSN: 1580-3139; 1854-5165
• DOI: 10.5566/ias.2660

In the field of cleaning, there is a method to evaluate the amount of soiling by processing the color signal of an image of a soiled sample using the Kubelka-Munka formula, but this method could not be adapted to the case where the hue changes due to cleaning or washing. In this study, we aimed to construct a system to quantify the amount of soiling corresponding to the hue change.We conducted a cleaning experiment using a sample of iron oxide, which changes from yellowish-brown to black by reduction, as a model soiling on fabric and evaluated the accuracy of the image analysis method by comparing it with the results of XRF analysis of the sample after cleaning.As a result, it was found that the change in the hue 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 xy value. Using the results, we were able to construct an algorithm that can accurately determine the amount of dirt adhesion by recalculating the hue change as a variable.This achievement has greatly expanded the range of objects for which the amount of soiling from the exterior can be evaluated.