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(2022)
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Computer Science, Artificial Intelligence
Ying Liang et al.
Summary: In this article, a simple yet powerful image transformation network is proposed to remove textures and highlight defects at full resolution. The network utilizes a polynomial loss function combining perceptual loss, structural similarity loss, and image gradient loss to effectively suppress texture and emphasize defects. The method demonstrates superior performance in experiments and has been successfully applied to the surface defect online detection system of an aluminum ingot milling production line.
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