标题
Detection method of timber defects based on target detection algorithm
作者
关键词
-
出版物
MEASUREMENT
Volume 203, Issue -, Pages 111937
出版商
Elsevier BV
发表日期
2022-09-15
DOI
10.1016/j.measurement.2022.111937
参考文献
相关参考文献
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- (2022) Chen Zhao et al. MEASUREMENT
- The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions
- (2021) Melvyn L. Smith et al. COMPUTERS IN INDUSTRY
- High Definition Metrology-Based Quality Improvement of Surface Texture in Face Milling of Workpieces With Discontinuous Surfaces
- (2021) Guilong Li et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Joint distribution adaptation with diverse feature aggregation: A new transfer learning framework for bearing diagnosis across different machines
- (2021) Shiyao Jia et al. MEASUREMENT
- Detecting Defects on Solid Wood Panels Based on an Improved SSD Algorithm
- (2020) Fenglong Ding et al. SENSORS
- Wood Defect Detection Based on Depth Extreme Learning Machine
- (2020) Yutu Yang et al. Applied Sciences-Basel
- Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning
- (2019) Augustas Urbonas et al. Applied Sciences-Basel
- Application of deep convolutional neural network on feature extraction and detection of wood defects
- (2019) Ting He et al. MEASUREMENT
- A Generic Deep-Learning-Based Approach for Automated Surface Inspection
- (2018) Ruoxu Ren et al. IEEE Transactions on Cybernetics
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning
- (2015) Xinting Gao et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Knot segmentation in 3D CT images of wet wood
- (2014) Adrien Krähenbühl et al. PATTERN RECOGNITION
- Pattern recognition and size determination of internal wood defects based on wavelet neural networks
- (2009) Lihai Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automated visual inspection system for wood defect classification using computational intelligence techniques
- (2009) Gonzalo A. Ruz et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
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