基于图像的唇光泽度测量——以唇脂纹理设计为重点

Kenji Nishino, N. Ikeda
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摘要

光泽度是唇膏质量的重要组成部分之一。然而,一种客观、定量的评价方法尚未建立。我们的目标是开发一种基于图像的唇光泽度测量方法,重点关注唇胭脂的纹理设计,包括“珍珠”和“光泽”纹理。首先,评估了视觉光泽度与图像统计参数“偏度”之间的相关性,该参数已被用于以往的光泽度感知研究。偏度与光泽质地唇妆的视觉光泽度相关性较好(相关系数r = 0.65),与珍珠质地唇妆的相关系数r = 0.21不相关。其次,我们开发了一个新的图像统计参数“RMS对比度”,认为该参数与珍珠质感唇彩的视觉光泽度有很好的相关性。为了评价RMS对比的效果,测定并比较了纹理增强唇妆(光泽、珍珠和哑光)的图像统计参数和视觉光泽度评分。本实验结果表明,偏度与有光泽唇脂的光泽度有较好的相关性,而均方根对比与珍珠色唇脂的光泽度有较好的相关性。此外,使用这两个图像统计参数的多元回归方程可以有效地评估视觉光泽度,估计精度高(r = 0.82)。
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An Image-Based Measurement of Lip Glossiness by Focusing on the Texture Design of Lip Rouge
Glossiness is one of the most important quality components of lip rouge. However, an objective and quantitative evaluation method has yet to be established. We aimed to develop a method for image-based lip glossiness measurement by focusing on the texture design of lip rouge, including “ pearly ” and “ glossy ” textures. Initially, the correlation between visual glossiness and the image statistic parameter “ skewness ”, which has been used in previous glossiness perception studies, was evaluated. Skewness showed a good correlation with the visual glossiness of glossy texture lip rouge ( correlation coefficient r = 0.65 ), though not with that of pearly texture lip rouge ( r = 0.21 ). Next, we developed a new image statistic parameter termed “ RMS contrast ”, which was consid-ered to have a good correlation with the visual glossiness of pearly texture lip rouge. To evaluate the efficacy of RMS contrast, image statistic parameters and visual glossiness scores of texture-enhanced lip rouges ( glossy, pearly, and matte ) were determined and compared. The present re-sults showed that skewness showed a good correlation with the glossiness of glossy lip rouge, while RMS contrast showed that with pearly lip rouge. In addition, use of a multiple regression equation with these two image statistic parameters allowed for effective evaluation of visual glossiness with good estimation accuracy ( r = 0.82 ).
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