Abstract
The integration of computer-aided design (CAD) and machine vision has brought unprecedented convenience and accuracy to packaging design, enabling designers to create packaging designs that meet market demands in a more efficient and precise manner. This article proposes a method that combines CAD and machine vision, which not only optimizes packaging images but also creates packaging design models based on the optimized images, achieving technological synergy. The results show that this algorithm can simplify the model while maintaining its key features and improving computational efficiency. By deblurring, designers can be provided with clearer and more accurate visual information, thereby improving design efficiency. The subjective rating of the designer confirms the superiority of the product packaging CAD system constructed in this article in terms of performance. This research achievement is of great significance for promoting the innovative development of packaging design, enhancing design efficiency, improving designer experience, and providing new possibilities for future progress in the field of packaging design.
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CITATION STYLE
Liu, H., & Liu, D. (2024). Optimization Application of Packaging Design Based on CAD and Machine Vision. Computer-Aided Design and Applications, 21(S15), 244–260. https://doi.org/10.14733/cadaps.2024.S15.244-260
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