Influence of luminance distribution on the appetizingly fresh appearance of cabbage

Influence of luminance distribution on the appetizingly fresh appearance of cabbage
复制标题

DOI:
10.1016/j.appet.2010.01.002
复制
发表时间:
2010-04-01
期刊:
影响因子:
5.4
通讯作者:
Okajima, Katsunori
Okajima, Katsunori
中科院分区:
医学2区
文献类型:
--
作者:
Wada, Yuji;Arce-Lopera, Carlos;Okajima, Katsunori

文献摘要

被引文献

相似文献

我们研究了新鲜食品的亮度分布参数对其新鲜度的视觉感知的影响。我们拍摄了卷心菜 32 小时内新鲜度退化的照片。我们使用原始图像(在不同采样时间拍摄的照片的补丁)和人工生成的图片(称为“匹配图像”),通过使用亮度直方图匹配算法将原始图像(在第一小时拍摄)的亮度直方图形状拟合到各个新鲜度阶段的图像来创建。九名参与者按照降级程度对原始图像和匹配图像的感知新鲜度进行评分。结果,我们发现参与者只需查看所呈现的图像就可以定量估计卷心菜新鲜度的下降情况。亮度直方图的一些参数随着新鲜度的降低而单调变化,表明可以利用这些参数来估计卷心菜的新鲜度。然而,在降解第 8 小时后,匹配图像的新鲜度评级的修改程度低于相应原始图像的新鲜度评级。这些结果表明,蔬菜纹理的亮度分布部分有助于视觉新鲜度感知,但其他变量(例如空间模式)对于估计视觉新鲜度也可能很重要。 (C) 2010 Elsevier Ltd. 保留所有权利。
We investigated the effect that the parameters of luminance distribution in fresh food have on our visual perception of its freshness. We took pictures of the degradation over 32 h in freshness of a cabbage. We used original images, which were patches of the pictures taken at different sampling hours, and artificially generated pictures, called "matched images," created by fitting the luminance histogram shape of the original image (taken at the 1st hour) to those at various freshness stages using a luminance histogram-matching algorithm. Nine participants rated the perceived freshness of the original and the matched images on a scale of degradation. As a result, we found that the participants could quantitatively estimate the degradation in freshness of the cabbage simply by looking at the presented images. Some parameters of the luminance histograms monotonically change with decreasing freshness, indicating that the freshness of cabbage can be estimated using these parameters. However, the freshness ratings for the matched images after the 8th hour of degradation had lower modification than those for the respective original images. These results suggest that the luminance distribution in the vegetable texture partly contributes to visual freshness perception but other variables, such as spatial patterns, might also be important for estimating visual freshness. (C) 2010 Elsevier Ltd. All rights reserved.