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Laser triangulation is essential for industrial thickness measurement but faces challenges such as high noise sensitivity and non-uniform reflectivity. To address these issues, this paper presents a high-precision dual-path method based on a complementary optics–algorithm design that combines an oblique-incidence optical configuration with a spatial-topological constrained grayscale centroid method (STC-GCM).
This study presents an end-to-end laser stripe centerline extraction model, CSA-ASPP-Net, which enables direct mapping from raw laser stripe images to high-precision sub-pixel centerlines through the integrated design of atrous spatial pyramid pooling (ASPP) and channel-spatial attention (CBAM).
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