Arce-Lopera Carlos, Masuda Tomohiro, Kimura Atsushi, Wada Yuji, Okajima Katsunori
Department of Environment and Information Sciences, Yokohama National University, E404 General Research Building, 79-7 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan; e-mail:
Iperception. 2012;3(5):338-55. doi: 10.1068/i0471. Epub 2012 May 21.
Material perception studies focus on the analysis of visual cues that may underlie the ability to distinguish between the different properties of an object. Herein, we investigated the effects of luminance distribution on the perceived freshness of a strawberry independent from its colour information. We took photographs of the degradation of a strawberry over 169 hours in a controlled environment, then presented cropped square patches of the original images to subjects who then rated the perceived freshness using a visual analogue scale. Freshness ratings were significantly highly correlated with statistical measures of the luminance and colour channels. To clarify which of these visual cues affects freshness perception, we created artificial images by modifying only the luminance distribution and keeping the colour information unchanged. The modification of luminance resulted in a highly correlated change in freshness perception, suggesting that luminance visual cues are essential to the freshness perception of strawberries. Finally, by eliminating the colour information from the images, we examined the contribution of luminance distribution independent of colour information and found that luminance information suffices for accurate estimation of strawberry freshness.
材质感知研究专注于对视觉线索的分析,这些线索可能是区分物体不同属性能力的基础。在此,我们研究了亮度分布对草莓感知新鲜度的影响,且独立于其颜色信息。我们在可控环境下拍摄了一颗草莓169小时的降解过程,然后将原始图像裁剪成方形小块展示给受试者,让他们使用视觉模拟量表对感知到的新鲜度进行评分。新鲜度评分与亮度和颜色通道的统计量显著高度相关。为了弄清楚这些视觉线索中哪一个会影响新鲜度感知,我们通过仅修改亮度分布并保持颜色信息不变来创建人工图像。亮度的改变导致新鲜度感知上的高度相关变化,这表明亮度视觉线索对草莓的新鲜度感知至关重要。最后,通过从图像中消除颜色信息,我们研究了独立于颜色信息的亮度分布的作用,发现亮度信息足以准确估计草莓的新鲜度。