Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism

Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism

This study presents an innovative segmentation algorithm that seamlessly integrates an adaptive multi-scale attention mechanism with the Lossab loss function to tackle challenges like overlapping molten pool contours and arc interference during image segmentation. Initially, an adaptive multi-scale...

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Bibliographic Details
Main Authors: Yuefeng Chen, Weihua Liu, Qing Yang, Huabin Chen, Qi Jiang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Semantic segmentation
molten pool images
attention mechanism
deep learning
industrial vision
Online Access:https://ieeexplore.ieee.org/document/10965691/
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https://ieeexplore.ieee.org/document/10965691/

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