CCG-YOLOv7: A Wood Defect Detection Model for Small Targets Using Improved YOLOv7
W Cui, Z Li, A Duanmu, S Xue, Y Guo, C Ni, T Zhu… - IEEE …, 2024 - ieeexplore.ieee.org
The Chinese furniture market has a high demand for wood floors. Manual defect detection in
wood floors is inefficient and lacks stability in accuracy. It is necessary to conduct research …
wood floors is inefficient and lacks stability in accuracy. It is necessary to conduct research …
Improved ResNet-50 model for identifying defects on wood surfaces
X Zou, C Wu, H Liu, Z Yu - Signal, Image and Video Processing, 2023 - Springer
Wood defect identification plays an essential role in guaranteeing the quality and efficiency
of furniture manufacturing, which is a challenging task due to the data complexity and high …
of furniture manufacturing, which is a challenging task due to the data complexity and high …
[PDF][PDF] Evaluation of texture feature based on basic local binary pattern for wood defect classification
EAB Ibrahim, UR Hashim, L Salahuddin… - Int. J. Adv. Intell …, 2021 - academia.edu
Trees are one of the most important forms of plant wealth. They grow on the earth's surface
and are characterized by their length from the rest of the plants. Trees are considered the …
and are characterized by their length from the rest of the plants. Trees are considered the …