纸币劣化评价光学方法的发展

T. Kyrychok, Z. Kazhmuratov, P. Kyrychok, T. Klymenko, O. Sokol
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引用次数: 0

摘要

我们发展了一种图像的中色模型,根据该模型,图像以一定的距离远离观看者,在这个距离上,图像的所有颜色混合在一起,形成一个不可分割的色斑。即将图像转换为条件像素,条件像素是其所有像素的颜色混合而成。基于所提出的模型,可以通过平均颜色的偏差来估计两幅图像光学特性的接近程度。通过专门设计的程序,实现了对哈萨克坚戈和乌克兰格里夫纳评价介质颜色的方法。在纸币正面和背面水印附近的非印刷区域进行光学特性测量。结果表明,根据所建立的模型,利用介质颜色的偏差对图像进行评价是一种较为准确的印刷层磨损指标,其算术平均误差小于传统的光学评价方法-亮度变化和色差。因此,介质颜色的偏差较好地描述了人对钞票污垢的感知。这种旨在消除图像评价主观性的中色方法,既可以用于数字图像处理,也可以用于印迹图像处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optical methods development for banknote deterioration evaluation
We have developed a model of the medium color of the image, according to which the image moves away from the viewer at a certain distance, at which all the colors of the image are mixed, forming an inseparable color spot. That is, the image is converted into a conditional pixel, which is a mixture of colors of all its pixels. Based on the proposed model, it is possible to estimate the degree of closeness of the optical characteristics of the two images by the deviation of the average color. The method of medium color was realized with a specially designed program application for Kazakh Tenge as well as for Ukrainian Hryvnia evaluation. The measurement of optical characteristics was performed in the non-printed area near the watermark on both the face and reverse of the banknotes. The results show that the evaluation of the image by the deviation of the medium color according to the developed model is a fairly accurate indicator of wear of the printed layer, has an arithmetic mean error less than traditional optical evaluation methods - brightness change and color difference. Thus, the deviation of the medium color describes the human perception of banknote soiling fairly well. This method of medium color, which aims to eliminate the subjectivity of image evaluation, can be used to process both digital images and imprints.
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