IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism

IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism

Saw wood cracks are defects that affect the appearance and mechanical strength of sawn wood. Crack defects in the surface of sawn wood can be readily detected. Decisions regarding the presence and severity of such defects can affect the utilization rate of sawn timber. Due to the heavy workload, low...

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Bibliographic Details
Main Authors: Yingda Dong, Chunguang He, Xiaoyang Xiang, Yuhan Cui, Yongkang Kang, Anning Ding, Huaqiong Duo, Ximing Wang
Format: Article
Language:English
Published: North Carolina State University 2025-03-01
Series:BioResources
Subjects:
surface crack detection of sawn timber
deep learning
semantic segmentation
u-net
Online Access:https://ojs.bioresources.com/index.php/BRJ/article/view/23918
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