Woven Fabric Pattern Recognition and Classification Based on Deep Convolutional Neural Networks

Woven Fabric Pattern Recognition and Classification Based on Deep Convolutional Neural Networks

The weave pattern (texture) of woven fabric is considered to be an important factor of the design and production of high-quality fabric. Traditionally, the recognition of woven fabric has a lot of challenges due to its manual visual inspection. Moreover, the approaches based on early machine learnin...

Full description

Bibliographic Details
Main Authors:	Muhammad Ather Iqbal Hussain, Babar Khan, Zhijie Wang, Shenyi Ding
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Electronics
Subjects:	pattern recognition deep learning ResNet-50 transfer learning woven fabric
Online Access:	https://www.mdpi.com/2079-9292/9/6/1048

Similar Items

Wood Species Recognition with Small Data: A Deep Learning Approach
by: Yongke Sun, et al.
Published: (2021-04-01)

A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB
by: Dorukhan Erdem, et al.
Published: (2020-01-01)

A New Deep Learning Model for The Classification of Poisonous and Edible Mushrooms Based on Improved AlexNet Convolutional Neural Network
by: Boonlue, S., et al.
Published: (2022)

Parkinson’s Disease Detection Based on Spectrogram-Deep Convolutional Generative Adversarial Network Sample Augmentation
by: Zhi-Jing Xu, et al.
Published: (2020-01-01)

ResNet-LSTM for Real-Time PM<sub>2.5</sub> and PM₁₀ Estimation Using Sequential Smartphone Images
by: Shiguang Song, et al.
Published: (2020-01-01)

Facial Expression Recognition Using Pose-Guided Face Alignment and Discriminative Features Based on Deep Learning
by: Jun Liu, et al.
Published: (2021-01-01)

Tongue image quality assessment based on a deep convolutional neural network
by: Tao Jiang, et al.
Published: (2021-05-01)

Exploring Convolution Neural Network for Branch Prediction
by: Yonghua Mao, et al.
Published: (2020-01-01)

Efficient End-to-End Sentence-Level Lipreading with Temporal Convolutional Networks
by: Tao Zhang, et al.
Published: (2021-07-01)

A Novel Multi-Feature Joint Learning Ensemble Framework for Multi-Label Facial Expression Recognition
by: Wanzhao Li, et al.
Published: (2021-01-01)

Deep Learning Method for Fault Detection of Wind Turbine Converter
by: Cheng Xiao, et al.
Published: (2021-01-01)

Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks
by: Gerassimos Peteinatos, et al.
Published: (2020-12-01)

FF-PCA-LDA: Intelligent Feature Fusion Based PCA-LDA Classification System for Plant Leaf Diseases
by: Ali, S., et al.
Published: (2022)

An Improved CNN-Based Apple Appearance Quality Classification Method With Small Samples
by: Li Sun, et al.
Published: (2021-01-01)

Deep Residual CNN-Based Ocular Recognition Based on Rough Pupil Detection in the Images by NIR Camera Sensor
by: Young Won Lee, et al.
Published: (2019-02-01)

Facial Expressions Based Automatic Pain Assessment System
by: Alaghband, G., et al.
Published: (2022)

iSPLInception: An Inception-ResNet Deep Learning Architecture for Human Activity Recognition
by: Mutegeki Ronald, et al.
Published: (2021-01-01)

Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
by: Ayat Abedalla, et al.
Published: (2021-06-01)

Visualization of Salient Object With Saliency Maps Using Residual Neural Networks
by: Rubina Rashid, et al.
Published: (2021-01-01)

The Abnormal Detection of Electroencephalogram With Three-Dimensional Deep Convolutional Neural Networks
by: Du Yun-Mei, et al.
Published: (2020-01-01)

COVID-19 diagnosis and severity detection from CT-images using transfer learning and back propagation neural network
by: Aswathy A.L., et al.
Published: (2021-10-01)

Real-Time Face Mask Detection to Ensure COVID-19 Precautionary Measures in the Developing Countries
by: Ammar, A., et al.
Published: (2022)

Robust Learning with Implicit Residual Networks
by: Viktor Reshniak, et al.
Published: (2021-12-01)

A Machine Learning-Based Approach for Fault Detection of Railway Track and its Components
by: Asber, Johnny
Published: (2020)

Brain-Inspired Deep Networks for Facial Expression Recognition
by: Nafiseh Zeinali, et al.
Published: (2020-09-01)

Research on Application of Classification Model Based on Stack Generalization in Staging of Cervical Tissue Pathological Images
by: Shuailei Zhang, et al.
Published: (2021-01-01)

Recognition of Endemic Bird Species Using Deep Learning Models
by: Yo-Ping Huang, et al.
Published: (2021-01-01)

Visual Recognition Based on Deep Learning for Navigation Mark Classification
by: Mingyang Pan, et al.
Published: (2020-01-01)

Fused behavior recognition model based on attention mechanism
by: Lei Chen, et al.
Published: (2020-03-01)

Hybrid Attention Cascade Network for Facial Expression Recognition
by: Xiaoliang Zhu, et al.
Published: (2021-03-01)

Automatic Cephalometric Landmark Detection on X-ray Images Using a Deep-Learning Method
by: Yu Song, et al.
Published: (2020-04-01)

LPI Radar Waveform Recognition Based on Deep Convolutional Neural Network Transfer Learning
by: Qiang Guo, et al.
Published: (2019-04-01)

Effectiveness of Human Detection from Aerial Images Taken from Different Heights
by: Salem, MSH, et al.
Published: (2021)

Effectiveness of Human Detection from Aerial Images Taken from Different Heights
by: Salem, M.S.H, et al.
Published: (2021)

Damage Identification of Low Emissivity Coating Based on Convolution Neural Network
by: Xin Wu, et al.
Published: (2020-01-01)

Spaceborne SAR Data for Regional Urban Mapping Using a Robust Building Extractor
by: Juanjuan Li, et al.
Published: (2020-08-01)

An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms
by: Nikita Jain, et al.
Published: (2021-07-01)

ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation
by: Chathurika S. Wickramasinghe, et al.
Published: (2021-01-01)

Detection and Classification of Different Weapon Types Using Deep Learning
by: Volkan Kaya, et al.
Published: (2021-08-01)

Scalenet: A Convolutional Network to Extract Multi-Scale and Fine-Grained Visual Features
by: Jinpeng Zhang, et al.
Published: (2019-01-01)