Computing the characteristics of defects in wooden structures using image processing and CNN

R Ehtisham, W Qayyum, CV Camp, V Plevris… - Automation in …, 2024 - Elsevier
Wood, a time-honored construction material prized for its exceptional properties, has been in
use for millennia. Its enduring popularity is attributed to its remarkable strength, aesthetic …

An improved YOLOv5 algorithm for wood defect detection based on attention

S Han, X Jiang, Z Wu - IEEE Access, 2023 - ieeexplore.ieee.org
Wood defect detection is a research hotspot in the field of forestry at present. However,
existing studies on wood defect detection mainly focus on detecting a single type of defect or …

[HTML][HTML] ODCA-YOLO: An omni-dynamic convolution coordinate attention-based YOLO for wood defect detection

R Wang, F Liang, B Wang, X Mou - Forests, 2023 - mdpi.com
Accurate detection of wood defects plays a crucial role in optimizing wood utilization,
minimizing corporate expenses, and safeguarding precious forest resources. To achieve …

[HTML][HTML] SGN-YOLO: detecting wood defects with improved YOLOv5 based on semi-global network

W Meng, Y Yuan - Sensors, 2023 - mdpi.com
Object detection based on wood defects involves using bounding boxes to label defects in
the surface image of the wood. This step is crucial before the transformation of wood …

[HTML][HTML] Classification of defects in wooden structures using pre-trained models of convolutional neural network

R Ehtisham, W Qayyum, CV Camp, V Plevris… - Case Studies in …, 2023 - Elsevier
Wooden structures, over time, are challenged by different types of defects. Due to
mechanical and weathering effects, these defects can occur in the form of cracks, live and …

GBCD-YOLO: A high-precision and real-time lightweight model for wood defect detection

Y Zheng, M Wang, B Zhang, X Shi, Q Chang - IEEE Access, 2024 - ieeexplore.ieee.org
With the advancement of the wood processing industry, the demand for the detection of
surface defects in wood has become increasingly urgent. The application of automated …

Adaptive cross-scenario few-shot learning framework for structural damage detection in civil infrastructure

G Xue, S Liu, L Ren, D Gong - Journal of Construction Engineering …, 2023 - ascelibrary.org
Structural damage detection techniques are gaining widespread attention in construction
engineering and management. However, the scarcity of structural damage samples and the …

[HTML][HTML] An Efficient and Accurate Surface Defect Detection Method for Wood Based on Improved YOLOv8

R Wang, F Liang, B Wang, G Zhang, Y Chen, X Mou - Forests, 2024 - mdpi.com
Accurate detection of wood surface defects plays a pivotal role in enhancing wood grade
sorting precision, maintaining high standards in wood processing quality, and safeguarding …

BPN-YOLO: A Novel Method for Wood Defect Detection Based on YOLOv7

R Wang, Y Chen, F Liang, B Wang, X Mou, G Zhang - Forests, 2024 - mdpi.com
The detection of wood defect is a crucial step in wood processing and manufacturing,
determining the quality and reliability of wood products. To achieve accurate wood defect …

An accurate object detection of wood defects using an improved Faster R-CNN model

X Zou, C Wu, H Liu, Z Yu, X Kuang - Wood Material Science & …, 2024 - Taylor & Francis
Wood defect classification and location are crucial for automatic repair and reuse in wood
product manufacture, which requires high accuracy and efficiency in the engineering …