A person’s preference to select or reject certain meals is influenced by several aspects, including colour. In this paper, we study the relevance of food colour for such preferences. To this end, a set of images of meals is processed by an automatic method that associates mood adjectives that capture such meal preferences. These adjectives are obtained by analyzing the colour palettes in the image, using a method based in Kobayashi’s model of harmonic colour combinations. The paper also validates that the colour palettes calculated for each image are harmonic by developing a rating model to predict how much a user would like the colour palettes obtained. This rating is computed using a regression model based on the COLOURlovers dataset implemented to learn users’ preferences. Finally, the adjectives associated automatically with images of dishes are validated by a survey which was responded by 178 people and demonstrates that the labels are adequate. The results obtained in this paper have applications in tourism marketing, to help in the design of marketing multimedia material, especially for promoting restaurants and gastronomic destinations.

一个人选择或拒绝某些食物的偏好受到几个方面的影响，包括颜色。在本文中，我们研究了食物颜色与此类偏好的相关性。为此，一组膳食图像由一种自动方法处理，该方法将捕捉此类膳食偏好的情绪形容词相关联。这些形容词是通过分析图像中的调色板获得的，使用的方法基于小林的调和颜色组合模型。该论文还通过开发评级模型来预测用户对所获得的调色板的喜爱程度，从而验证为每张图像计算的调色板是否和谐。该评级是使用基于 COLOURlovers 数据集的回归模型计算得出的，该数据集用于了解用户的偏好。最后，自动与菜肴图像相关联的形容词通过一项调查得到验证，该调查有 178 人回答并证明标签是足够的。本文获得的结果在旅游营销中有应用，有助于营销多媒体材料的设计，特别是用于推广餐厅和美食目的地。