Abstract
Optical processing technology can improve the accuracy and efficiency of image processing. Visual packaging art design simulation is to quickly generate realistic packaging effects in the early stage of packaging design, so as to make better design decisions. Traditional simulation methods often require a lot of time and human resources, and the results lack realism and detail. Machine vision technology based on optical processing can make full use of image processing algorithms and computer vision technology to achieve efficient and accurate packaging design simulation. In this paper, a machine vision technology framework based on image optical processing is proposed. In the image acquisition stage, high-resolution cameras are used to acquire real packaging images, and in the optical processing stage, algorithms are used to enhance, reduce noise and correct images to improve image quality and clarity. In the image analysis stage, machine learning algorithms are used to extract features and detect and identify packaging elements, providing data support for subsequent simulation rendering. The results show that the machine vision technology based on image optical processing can generate high quality and realistic simulation effect of packaging design. Compared with traditional methods, this technique has achieved significant improvements in terms of time cost and design quality.
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YG has done the first version, HY and LF has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.
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Guangpeng, Y., Yin, H. & Fengze, L. Computer vision technology based on image optical processing in visual packaging art design simulation. Opt Quant Electron 56, 529 (2024). https://doi.org/10.1007/s11082-023-06142-4
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DOI: https://doi.org/10.1007/s11082-023-06142-4