DPG-Unet for reflections removal on cigarette box surface

Wenhua Bao; Zunhua Gao; Yaowei Yang; Jianting Kan; Wenting Bao; Jiakang Li

doi:10.1117/12.3055474

12 December 2024 DPG-Unet for reflections removal on cigarette box surface

Wenhua Bao, Zunhua Gao, Yaowei Yang, Jianting Kan, Wenting Bao, Jiakang Li

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 134390D (2024) https://doi.org/10.1117/12.3055474
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

The variety of cigarette box printing inks, diverse patterns, and extensive use of reflective laser materials pose significant challenges for quality inspection. Currently, cigarette box quality inspection relies on slow and subjective manual methods, falling short of accurate and objective standards. However, while digital inspection holds promise, it faces challenges from strong reflections during image capture, leading to data distortion. Aiming to address this concern, we propose a network named Dual-stream Pyramid Gated-SwinUnet (DPG-UNet). Firstly, the dual-stream interaction mechanism enhances information exchange between features at different scales. Secondly, the pyramid model more effectively captures multiscale features, improving reflection removal accuracy. Finally, the proposed Gated-SwinUnet architecture, which significantly enhances feature representation capabilities by integrating the gating mechanism with the SwinUnet model. Our design uses the adjustment effect of the gating mechanism to optimize the interaction between the reflection layer and the projection layer, achieving deep fusion and effective separation of features. The experimental outcomes confirm the effectiveness of our approach significantly enhances the ability to remove reflections from cigarette box surfaces, providing higher-quality image inputs for subsequent analysis and automated inspection.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenhua Bao, Zunhua Gao, Yaowei Yang, Jianting Kan, Wenting Bao, and Jiakang Li "DPG-Unet for reflections removal on cigarette box surface", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 134390D (12 December 2024); https://doi.org/10.1117/12.3055474

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KEYWORDS

Reflection

Inspection

Feature extraction

Image restoration

Image quality

Feature fusion

Image enhancement

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