Optimization of regional cultural modern liquor packaging design based on computer vision algorithm
Abstract
In alcohol packaging, graphics, colors and text are social symbols. This article first uses the relevant principles of visual grammar to conduct a multimodal discourse analysis on the packaging pattern of Fen Liquor blue and white vases from multiple angles. Then, this paper uses human visual characteristics to improve product packaging styling effects. At the same time, a Gaussian filter is used to denoise the noisy wine packaging image, and then the image is used as an input image for grayscale transformation to obtain the guidance image. Research shows that in the multimodal discourse of Fen Liquor blue and white bottles, various forms such as images, text and colors can constitute and convey product information, mapping the history and culture of the product. This stimulates consumers’ visual senses and arouses consumers’ spiritual resonance to achieve the goal of promoting consumption.
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DOI: https://doi.org/10.32629/jai.v7i3.1452
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