Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model
出版年份 2018 全文链接
标题
Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model
作者
关键词
-
出版物
SENSORS
Volume 18, Issue 4, Pages 1064
出版商
MDPI AG
发表日期
2018-04-03
DOI
10.3390/s18041064
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Automatic Fabric Defect Detection Using Learning-Based Local Textural Distributions in the Contourlet Domain
- (2018) Daniel Yapi et al. IEEE Transactions on Automation Science and Engineering
- Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network
- (2018) Junwen Chen et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Deformable Patterned Fabric Defect Detection With Fisher Criterion-Based Deep Learning
- (2017) Yundong Li et al. IEEE Transactions on Automation Science and Engineering
- Unsupervised-Learning-Based Feature-Level Fusion Method for Mura Defect Recognition
- (2017) Shuang Mei et al. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
- Fabric defect inspection based on lattice segmentation and Gabor filtering
- (2017) Liang Jia et al. NEUROCOMPUTING
- Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection
- (2017) Peilin He et al. SENSORS
- A Method for Automatic Surface Inspection Using a Model-Based 3D Descriptor
- (2017) Carlos Madrigal et al. SENSORS
- Real-Time Indoor Scene Description for the Visually Impaired Using Autoencoder Fusion Strategies with Visible Cameras
- (2017) Salim Malek et al. SENSORS
- Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder
- (2017) Miao Kang et al. SENSORS
- Fabric Defect Detection for Apparel Industry: A Nonlocal Sparse Representation Approach
- (2017) Le Tong et al. IEEE Access
- Combining Fisher Criterion and Deep Learning for Patterned Fabric Defect Inspection
- (2016) Yundong LI et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Unsupervised fabric defect segmentation using local patch approximation
- (2016) Jian Zhou et al. JOURNAL OF THE TEXTILE INSTITUTE
- Deep Learning Representation using Autoencoder for 3D Shape Retrieval
- (2016) Zhuotun Zhu et al. NEUROCOMPUTING
- Combining Fisher Criterion and Deep Learning for Patterned Fabric Defect Inspection
- (2016) Yundong LI et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Defect detection on the fabric with complex texture via dual-scale over-complete dictionary
- (2015) Tao Qu et al. JOURNAL OF THE TEXTILE INSTITUTE
- Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition
- (2015) Feng Gu et al. SENSORS
- Patterned Fabric Inspection and Visualization by the Method of Image Decomposition
- (2014) Michael K. Ng et al. IEEE Transactions on Automation Science and Engineering
- Automated defect detection in uniform and structured fabrics using Gabor filters and PCA
- (2013) Lucia Bissi et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Online Fabric Defect Inspection Using Smart Visual Sensors
- (2013) Yundong Li et al. SENSORS
- Total variation flow-based multiscale framework for unsupervised surface defect segmentation
- (2012) Wonjun Kim et al. OPTICAL ENGINEERING
- Illumination Normalization Based on Weber's Law With Application to Face Recognition
- (2011) Biao Wang et al. IEEE SIGNAL PROCESSING LETTERS
- Automated fabric defect detection—A review
- (2011) Henry Y.T. Ngan et al. IMAGE AND VISION COMPUTING
- WLD: A Robust Local Image Descriptor
- (2009) Jie Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fabric defect detection using morphological filters
- (2009) K.L. Mak et al. IMAGE AND VISION COMPUTING
- Adaptive Stochastic Gradient Descent Optimisation for Image Registration
- (2008) Stefan Klein et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Tiny surface defect inspection of electronic passive components using discrete cosine transform decomposition and cumulative sum techniques
- (2007) Hong-Dar Lin IMAGE AND VISION COMPUTING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started