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Fabric defect detection by Fourier analysis

https://doi.org/10.1109/28.871274
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0143-8166(95)00044-oopenalex-snapshot
On-line textile quality control using optical Fourier transforms
inferredcites →https://doi.org/10.1080/00405009208631217openalex-snapshot
FDAS: A Knowledge-based Framework for Analysis of Defects in Woven Textile Structures
inferredcites →https://doi.org/10.1117/1.600663openalex-snapshot
Defect detection in textured materials by optical filtering with structured detectors and self-adaptable masks
inferredcites →https://doi.org/10.1117/12.248573openalex-snapshot
Weaving defect detection by Fourier imaging
inferredcites →https://doi.org/10.1117/12.252995openalex-snapshot
Online optical measurement and monitoring of yarn density in woven fabrics
inferredcites →https://doi.org/10.1117/12.308923openalex-snapshot
Inspection of fabric resistance to abrasion by Fourier analysis
inferredcites →https://doi.org/10.1177/004051759006000404openalex-snapshot
Applying Fourier and Associated Transforms to Pattern Characterization in Textiles
inferredcites →https://doi.org/10.1177/004051759506500101openalex-snapshot
Fabric Defect Detection and Classification Using Image Analysis
inferredcites →https://doi.org/10.1177/004051759506501108openalex-snapshot
Fourier Transform Analysis of Plain Weave Fabric Appearance

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4750909openalex-extracted
Faster Region Convolutional Neural Network with Attentional Feature Fusion for Small Defect Detection
inferred← citeshttps://doi.org/10.1002/9781119058755.ch3openalex-snapshot
Micro Defect Detection on Air‐Bearing Surface
inferred← citeshttps://doi.org/10.1002/9781119786122.ch6openalex-snapshot
Surface Defect Detection Using SVM‐Based Machine Vision System with Optimized Feature
inferred← citeshttps://doi.org/10.1007/11424925_112openalex-snapshot
On-line Fabric-Defects Detection Based on Wavelet Analysis
inferred← citeshttps://doi.org/10.1007/11867661_71openalex-snapshot
NN Automated Defect Detection Based on Optimized Thresholding
inferred← citeshttps://doi.org/10.1007/978-0-387-34747-9_39openalex-snapshot
Limited Receptive Area neural classifier for texture recognition of metal surfaces
inferred← citeshttps://doi.org/10.1007/978-1-84882-215-3_2openalex-snapshot
Computer Vision System for Manufacturing of Micro Workpieces
inferred← citeshttps://doi.org/10.1007/978-3-030-35653-8_54openalex-snapshot
An Empirical Study on Fabric Defect Classification Using Deep Network Models
inferred← citeshttps://doi.org/10.1007/978-3-030-49336-3_10openalex-snapshot
Extracting Unknown Repeated Pattern in Tiled Images
inferred← citeshttps://doi.org/10.1007/978-3-030-71051-4_20openalex-snapshot
Computer-Aided Industrial Inspection of Vehicle Mirrors Using Computer Vision Technologies
inferred← citeshttps://doi.org/10.1007/978-3-030-88013-2_20openalex-snapshot
Fabric Defect Detection via Multi-scale Feature Fusion-Based Saliency
inferred← citeshttps://doi.org/10.1007/978-3-031-01984-5_11openalex-snapshot
A Hybrid Machine Learning Approach to Fabric Defect Detection and Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-11349-9_23openalex-snapshot
Introspecting Local Binary Feature Vectors for Classification of Radiographic Weld Images
inferred← citeshttps://doi.org/10.1007/978-3-031-13321-3_10openalex-snapshot
Spectral Analysis of Masked Signals in the Context of Image Inpainting
inferred← citeshttps://doi.org/10.1007/978-3-032-15407-1_30openalex-snapshot
Explainable AI Empowered Deep Learning-Based Framework for Fabric Defect Prediction
inferred← citeshttps://doi.org/10.1007/978-3-032-26592-0_19openalex-snapshot
Evaluation of Image-Based Methods for Damage Detection in the Recycling of Textile Products
inferred← citeshttps://doi.org/10.1007/978-3-319-24770-0_46openalex-snapshot
Haar Wavelet-Based Approach to Locating Defects in Texture Images
inferred← citeshttps://doi.org/10.1007/978-3-319-51811-4_24openalex-snapshot
Phase Fourier Reconstruction for Anomaly Detection on Metal Surface Using Salient Irregularity
inferred← citeshttps://doi.org/10.1007/978-3-540-70658-8_2openalex-snapshot
Objective Assessment of Pilling of Knitted and Nonwoven Fabrics Using the Two Dimensional Discrete Wavelet Trnasform
inferred← citeshttps://doi.org/10.1007/978-3-540-74260-9_115openalex-snapshot
Intelligent Real-Time Fabric Defect Detection
inferred← citeshttps://doi.org/10.1007/978-3-540-74972-1_38openalex-snapshot
Visual Texture Characterization of Recycled Paper Quality
inferred← citeshttps://doi.org/10.1007/978-3-540-79721-0_93openalex-snapshot
Fuzzy Inspection of Fabric Defects Based on Particle Swarm Optimization (PSO)
inferred← citeshttps://doi.org/10.1007/978-3-540-88458-3_59openalex-snapshot
Contour Detection for Industrial Image Processing by Means of Level Set Methods
inferred← citeshttps://doi.org/10.1007/978-3-642-01636-3_7openalex-snapshot
Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production
inferred← citeshttps://doi.org/10.1007/978-3-642-02535-8_3openalex-snapshot
Neural Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-642-21887-3_47openalex-snapshot
Removal of Surface Artifacts of Material Volume Data with Defects
inferred← citeshttps://doi.org/10.1007/978-3-642-23896-3_11openalex-snapshot
Fabric Defect Detection Based on Computer Vision
inferred← citeshttps://doi.org/10.1007/978-981-13-7123-3_65openalex-snapshot
Application of Artificial Intelligence on the Image Identification of Icing Weather Phenomena
inferred← citeshttps://doi.org/10.1007/978-981-96-4276-2_14openalex-snapshot
Fabric Defect Detection Method Based on Unlabeled Compact Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-8362-8_12openalex-snapshot
Outliers
inferred← citeshttps://doi.org/10.1007/978-981-97-2508-3_6openalex-snapshot
A Brief Survey on Fabric Defect Detection
inferred← citeshttps://doi.org/10.1007/978-981-97-6992-6_30openalex-snapshot
Fabric Defects Detection Using YOLOv8
inferred← citeshttps://doi.org/10.1007/s00138-007-0073-3openalex-snapshot
Defect detection in inhomogeneously textured sputtered surfaces using 3D Fourier image reconstruction
inferred← citeshttps://doi.org/10.1007/s00138-007-0096-9openalex-snapshot
Detection of irregularities in regular patterns
inferred← citeshttps://doi.org/10.1007/s00138-011-0403-3openalex-snapshot
A fast regularity measure for surface defect detection
inferred← citeshttps://doi.org/10.1007/s00138-012-0425-5openalex-snapshot
Defect detection in periodic patterns using a multi-band-pass filter
inferred← citeshttps://doi.org/10.1007/s00170-009-2211-8openalex-snapshot
A novel internal thread defect auto-inspection system
inferred← citeshttps://doi.org/10.1007/s00170-010-2863-4openalex-snapshot
Defect detection in aluminum foil by measurement-residual-based chi-square detector
inferred← citeshttps://doi.org/10.1007/s00170-012-4338-2openalex-snapshot
Automated inspection of engineering ceramic grinding surface damage based on image recognition
inferred← citeshttps://doi.org/10.1007/s00170-015-7498-zopenalex-snapshot
Defect detection of polycrystalline solar wafers using local binary mean
inferred← citeshttps://doi.org/10.1007/s00170-021-08539-5openalex-snapshot
Multi-dimension tool wear state assessment criterion on the spiral edge of the milling cutter
inferred← citeshttps://doi.org/10.1007/s00170-025-17093-3openalex-snapshot
Comparison of spatial and frequency domain methods for detecting linear texture defects on yarn package surface
inferred← citeshttps://doi.org/10.1007/s00371-020-02040-yopenalex-snapshot
Fabric defect detection based on low-rank decomposition with structural constraints
inferred← citeshttps://doi.org/10.1007/s00371-021-02210-6openalex-snapshot
LE–MSFE–DDNet: a defect detection network based on low-light enhancement and multi-scale feature extraction
inferred← citeshttps://doi.org/10.1007/s00500-025-10399-0openalex-snapshot
Low-rank decomposition optimization and its application in fabric defects
inferred← citeshttps://doi.org/10.1007/s00521-017-2862-6openalex-snapshot
RETRACTED ARTICLE: Fuzzy logic-based segmentation of manufacturing defects on reflective surfaces
inferred← citeshttps://doi.org/10.1007/s00521-023-09080-0openalex-snapshot
Unsupervised fabric defect detection with local spectra refinement (LSR)
inferred← citeshttps://doi.org/10.1007/s10044-024-01318-4openalex-snapshot
Multilinear principal component analysis-based tensor decomposition for fabric weave pattern recognition from high-dimensional streaming data
inferred← citeshttps://doi.org/10.1007/s10845-021-01746-7openalex-snapshot
A machine vision-based defect detection system for nuclear-fuel rod groove
inferred← citeshttps://doi.org/10.1007/s10845-023-02297-9openalex-snapshot
Causal deep learning for explainable vision-based quality inspection under visual interference
inferred← citeshttps://doi.org/10.1007/s10845-026-02924-1openalex-snapshot
Structure-aware feature enhancement for real-time fabric defect detection in industrial inspection
inferred← citeshttps://doi.org/10.1007/s10846-005-9001-9openalex-snapshot
Chinese-Seal-Print Recognition by Color Image Dilating, Extraction, and Gray Scale Image Geometry Comparison
inferred← citeshttps://doi.org/10.1007/s11042-015-3041-3openalex-snapshot
Fabric defect inspection using prior knowledge guided least squares regression
inferred← citeshttps://doi.org/10.1007/s11042-017-5263-zopenalex-snapshot
Textile fabric defect detection based on low-rank representation
inferred← citeshttps://doi.org/10.1007/s11042-018-6704-zopenalex-snapshot
Texture pattern classification based on probability density function estimation of the image spatial structure feature with symmetrical weibull distribution model
inferred← citeshttps://doi.org/10.1007/s11042-018-6786-7openalex-snapshot
Unsupervised segmentation and elm for fabric defect image classification
inferred← citeshttps://doi.org/10.1007/s11128-023-03930-5openalex-snapshot
QSurfNet: a hybrid quantum convolutional neural network for surface defect recognition
inferred← citeshttps://doi.org/10.1007/s11460-011-0139-xopenalex-snapshot
Thresholding-based detection of fine and sparse details
inferred← citeshttps://doi.org/10.1007/s11554-020-01023-5openalex-snapshot
Real-time implementation of fabric defect detection based on variational automatic encoder with structure similarity
inferred← citeshttps://doi.org/10.1007/s11554-025-01780-1openalex-snapshot
YOLOv8n-SSSL: a lightweight and efficient model for textile defect detection
inferred← citeshttps://doi.org/10.1007/s11554-026-01971-4openalex-snapshot
DFG-DETR: a real-time directional-aware and fine-grained detector for industrial defect detection
inferred← citeshttps://doi.org/10.1007/s11760-018-1294-9openalex-snapshot
A new method for detecting texture defects based on modified local binary pattern
inferred← citeshttps://doi.org/10.1007/s11771-016-0362-yopenalex-snapshot
Detection of surface cutting defect on magnet using Fourier image reconstruction
inferred← citeshttps://doi.org/10.1007/s12200-017-0687-7openalex-snapshot
Defect detection on button surfaces with the weighted least-squares model
inferred← citeshttps://doi.org/10.1007/s12209-013-1937-4openalex-snapshot
Automatic damage detection of engineering ceramics ground surface based on texture analysis
inferred← citeshttps://doi.org/10.1007/s12221-008-0099-9openalex-snapshot
Image inspection of nonwoven defects using wavelet transforms and neural networks
inferred← citeshttps://doi.org/10.1007/s12221-013-1919-0openalex-snapshot
Research on digital intelligent recognition method of the weave pattern of fabric based on the redundant information
inferred← citeshttps://doi.org/10.1007/s12221-021-0912-2openalex-snapshot
A Method for Measuring the Orientation of Carbon Fiber Weave
inferred← citeshttps://doi.org/10.1007/s12541-015-0125-yopenalex-snapshot
Fast defect detection for various types of surfaces using random forest with VOV features
inferred← citeshttps://doi.org/10.1007/s12555-024-0550-8openalex-snapshot
TAG-Net: Triple Attention Guided Network for Inspecting Surface Defects on Steel Products
inferred← citeshttps://doi.org/10.1007/s12652-019-01640-4openalex-snapshot
Machine learning for quality control system
inferred← citeshttps://doi.org/10.1007/s40747-023-01180-7openalex-snapshot
A deep learning model for steel surface defect detection
inferred← citeshttps://doi.org/10.1007/s42600-021-00165-0openalex-snapshot
An ECG classification based on modified local binary patterns: a novel approach
inferred← citeshttps://doi.org/10.1016/b978-0-08-101211-6.00004-5openalex-snapshot
Automation in fabric inspection
inferred← citeshttps://doi.org/10.1016/b978-0-08-101217-8.00001-4openalex-snapshot
Fundamentals of common computer vision techniques for textile quality control
inferred← citeshttps://doi.org/10.1016/b978-0-08-101217-8.00003-8openalex-snapshot
Computer vision techniques for detecting fabric defects
inferred← citeshttps://doi.org/10.1016/b978-0-323-85534-1.00011-8openalex-snapshot
Process control in knitting
inferred← citeshttps://doi.org/10.1016/j.aei.2015.01.014openalex-snapshot
Defect detection in multi-crystal solar cells using clustering with uniformity measures
inferred← citeshttps://doi.org/10.1016/j.aej.2021.08.017openalex-snapshot
Detection of fabric defects with intertwined frame vector feature extraction
inferred← citeshttps://doi.org/10.1016/j.ces.2012.08.024openalex-snapshot
Bubble size measurement using Bayesian magnetic resonance
inferred← citeshttps://doi.org/10.1016/j.compind.2022.103628openalex-snapshot
Fabric defect classification using prototypical network of few-shot learning algorithm
inferred← citeshttps://doi.org/10.1016/j.compscitech.2007.01.035openalex-snapshot
Stochastic simulation of woven composites forming
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108921openalex-snapshot
A survey of vision-based condition monitoring methods using deep learning: A synthetic fiber rope perspective
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111708openalex-snapshot
Fabric defect detection via Explicit De-Background
inferred← citeshttps://doi.org/10.1016/j.eswa.2008.02.066openalex-snapshot
Stitching defect detection and classification using wavelet transform and BP neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2008.11.023openalex-snapshot
Recycled paper visual indexing for quality control
inferred← citeshttps://doi.org/10.1016/j.eswa.2010.10.032openalex-snapshot
Knitted fabric defect classification for uncertain labels based on Dempster–Shafer theory of evidence
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.05.080openalex-snapshot
Flaw detection of domed surfaces in LED packages by machine vision system
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.07.041openalex-snapshot
An innovative blemish detection system for curved LED lenses
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120241openalex-snapshot
An adaptive coarse-to-fine framework for automatic first article inspection of flexographic printing labels
inferred← citeshttps://doi.org/10.1016/j.ifacol.2015.06.451openalex-snapshot
A Learning-Based Approach for Automatic Defect Detection in Textile Images
inferred← citeshttps://doi.org/10.1016/j.ijleo.2013.03.038openalex-snapshot
Real time fabric defect detection system on an embedded DSP platform
inferred← citeshttps://doi.org/10.1016/j.ijleo.2015.08.163openalex-snapshot
Fabric seam detection based on wavelet transform and CIELAB color space: A comparison
inferred← citeshttps://doi.org/10.1016/j.ijleo.2016.09.110openalex-snapshot
Fabric defect detection systems and methods—A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.imavis.2004.09.003openalex-snapshot
An anisotropic diffusion-based defect detection for sputtered surfaces with inhomogeneous textures
inferred← citeshttps://doi.org/10.1016/j.imavis.2006.07.028openalex-snapshot
An adaptive level-selecting wavelet transform for texture defect detection
inferred← citeshttps://doi.org/10.1016/j.imavis.2007.02.002openalex-snapshot
Automated visual inspection of ripple defects using wavelet characteristic based multivariate statistical approach
inferred← citeshttps://doi.org/10.1016/j.imavis.2009.03.007openalex-snapshot
Fabric defect detection using morphological filters
inferred← citeshttps://doi.org/10.1016/j.imavis.2009.08.001openalex-snapshot
Micro-crack inspection in heterogeneously textured solar wafers using anisotropic diffusion
inferred← citeshttps://doi.org/10.1016/j.imavis.2011.02.002openalex-snapshot
Automated fabric defect detection—A review
inferred← citeshttps://doi.org/10.1016/j.imavis.2015.06.001openalex-snapshot
A novel algorithm for defect inspection of touch panels
inferred← citeshttps://doi.org/10.1016/j.ins.2019.10.032openalex-snapshot
Fabric defect inspection based on lattice segmentation and template statistics
inferred← citeshttps://doi.org/10.1016/j.ins.2020.08.100openalex-snapshot
Fabric defect detection via low-rank decomposition with gradient information and structured graph algorithm
inferred← citeshttps://doi.org/10.1016/j.isatra.2021.06.025openalex-snapshot
Classification of biscuit tiles for defect detection using Fourier transform features
inferred← citeshttps://doi.org/10.1016/j.jprocont.2016.04.014openalex-snapshot
Application of statistical modeling of image spatial structures to automated visual inspection of product quality
inferred← citeshttps://doi.org/10.1016/j.jvcir.2013.05.011openalex-snapshot
Automated defect detection in uniform and structured fabrics using Gabor filters and PCA
inferred← citeshttps://doi.org/10.1016/j.jvcir.2016.09.003openalex-snapshot
A simple computational framework for defect detection system with orthogonal polynomials transcoded coefficients
inferred← citeshttps://doi.org/10.1016/j.measen.2022.100603openalex-snapshot
LSTM based texture classification and defect detection in a fabric
inferred← citeshttps://doi.org/10.1016/j.measurement.2020.108885openalex-snapshot
EDDs: A series of Efficient Defect Detectors for fabric quality inspection
inferred← citeshttps://doi.org/10.1016/j.measurement.2021.109248openalex-snapshot
A vision-based fusion method for defect detection of milling cutter spiral cutting edge
inferred← citeshttps://doi.org/10.1016/j.mejo.2019.104620openalex-snapshot
Self-healing hardware systems: A review
inferred← citeshttps://doi.org/10.1016/j.ndteint.2003.10.004openalex-snapshot
Automatic inspection of gas pipeline welding defects using an expert vision system
inferred← citeshttps://doi.org/10.1016/j.ndteint.2009.01.007openalex-snapshot
Automatic detection of cracks in raw steel block using Gabor filter optimized by univariate dynamic encoding algorithm for searches (uDEAS)
inferred← citeshttps://doi.org/10.1016/j.ndteint.2024.103052openalex-snapshot
Lightweight detector based on knowledge distillation for magnetic particle inspection of forgings
inferred← citeshttps://doi.org/10.1016/j.neucom.2007.05.004openalex-snapshot
Limited receptive area neural classifier for texture recognition of mechanically treated metal surfaces
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.09.011openalex-snapshot
Differential evolution-based optimal Gabor filter model for fabric inspection
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.01.039openalex-snapshot
Fabric defect inspection based on lattice segmentation and Gabor filtering
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.10.070openalex-snapshot
Automatic fabric defect detection with a wide-and-compact network
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.11.078openalex-snapshot
Double sparse low rank decomposition for irregular printed fabric defect detection
inferred← citeshttps://doi.org/10.1016/j.optcom.2021.127228openalex-snapshot
High light-throughput noncoherent channels
inferred← citeshttps://doi.org/10.1016/j.patcog.2004.07.009openalex-snapshot
Wavelet based methods on patterned fabric defect detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2007.11.014openalex-snapshot
Motif-based defect detection for patterned fabric
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.09.022openalex-snapshot
Fabric inspection based on the Elo rating method
inferred← citeshttps://doi.org/10.1016/j.patrec.2010.05.030openalex-snapshot
Fabric defect classification using radial basis function network
inferred← citeshttps://doi.org/10.1016/j.patrec.2013.01.025openalex-snapshot
Enhanced anomaly detection in wire ropes by combining structure and appearance
inferred← citeshttps://doi.org/10.1016/j.rcim.2007.02.019openalex-snapshot
An automated inspection system for textile fabrics based on Gabor filters
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.109457openalex-snapshot
Hybrid CNN-Transformer models for industrial defect detection: A systematic review
inferred← citeshttps://doi.org/10.1016/j.sigpro.2010.02.012openalex-snapshot
Applying target maneuver onset detection algorithms to defects detection in aluminum foil
inferred← citeshttps://doi.org/10.1016/j.sigpro.2015.10.028openalex-snapshot
A robust vision inspection system for detecting surface defects of film capacitors
inferred← citeshttps://doi.org/10.1016/j.solmat.2011.12.007openalex-snapshot
Defect detection of solar cells in electroluminescence images using Fourier image reconstruction
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109109openalex-snapshot
Fusion of multi-light source illuminated images for effective defect inspection on highly reflective surfaces
inferred← citeshttps://doi.org/10.1016/s0262-8856(03)00007-6openalex-snapshot
Automated surface inspection for statistical textures
inferred← citeshttps://doi.org/10.1021/acsami.2c21058openalex-snapshot
NIR-Triggered High-Efficiency Self-Healable Protective Optical Coating for Vision Systems
inferred← citeshttps://doi.org/10.1023/a:1025477217799openalex-snapshot
Technique for Personal Identification: Using the Extracted Index Finger Image to Identify Individuals
inferred← citeshttps://doi.org/10.1038/s41598-024-69207-8openalex-snapshot
Attentive context and semantic enhancement mechanism for printed circuit board defect detection with two-stage and multi-stage object detectors
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.5857openalex-snapshot
Fabric defect detection using saliency of multi‐scale local steering kernel
inferred← citeshttps://doi.org/10.1051/e3sconf/202453804015openalex-snapshot
RETRACTED: Methods of fabric defect detection using expert systems - a systematic literature review
inferred← citeshttps://doi.org/10.1051/wujns/2022276539openalex-snapshot
Semantic Segmentation Using DeepLabv3+ Model for Fabric Defect Detection
inferred← citeshttps://doi.org/10.1063/1.5017589openalex-snapshot
Rapid surface defect detection based on singular value decomposition using steel strips as an example
inferred← citeshttps://doi.org/10.1080/00401706.2013.823890openalex-snapshot
A Test of Stationarity for Textured Images
inferred← citeshttps://doi.org/10.1080/00401706.2015.1102764openalex-snapshot
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition
inferred← citeshttps://doi.org/10.1080/00405000.2010.523192openalex-snapshot
Adaptive detection of weft‐knitted fabric defects based on machine vision system
inferred← citeshttps://doi.org/10.1080/00405000.2012.692940openalex-snapshot
Fabric defect detection using Gabor filters and defect classification based on LBP and Tamura method
inferred← citeshttps://doi.org/10.1080/00405000.2012.721206openalex-snapshot
Detection of defects in fabrics using subimage-based singular value decomposition
inferred← citeshttps://doi.org/10.1080/00405000.2013.836784openalex-snapshot
Dictionary learning framework for fabric defect detection
inferred← citeshttps://doi.org/10.1080/00405000.2014.996333openalex-snapshot
A real-time computer vision-based platform for fabric inspection part 1: algorithm
inferred← citeshttps://doi.org/10.1080/00405000.2015.1025559openalex-snapshot
A real-time computer vision-based platform for fabric inspection part 2: platform design and real-time implementation
inferred← citeshttps://doi.org/10.1080/00405000.2015.1102458openalex-snapshot
The fabric defect detection based on CIE L*a*b* color space using 2-D Gabor filter
inferred← citeshttps://doi.org/10.1080/00405000.2016.1161700openalex-snapshot
Warp-knitted fabric defect segmentation based on non-subsampled Contourlet transform
inferred← citeshttps://doi.org/10.1080/00405000.2018.1489951openalex-snapshot
Fabric defect detection algorithm using RDPSO-based optimal Gabor filter
inferred← citeshttps://doi.org/10.1080/00405000.2019.1655128openalex-snapshot
Modelling of reinforcement two-layer stitched woven fabric structure intended for composites
inferred← citeshttps://doi.org/10.1080/00405000.2020.1809918openalex-snapshot
Fabric defect detection under complex illumination based on an improved recurrent attention model
inferred← citeshttps://doi.org/10.1080/00405000.2020.1813409openalex-snapshot
Improved detection of woven fabric defect by optimized and adoptive cylindrical band-reject filtering
inferred← citeshttps://doi.org/10.1080/00405000.2023.2219048openalex-snapshot
TBINet: fabric defect detection based on a top-down and bottom-up inference network
inferred← citeshttps://doi.org/10.1080/00405000.2026.2704466openalex-snapshot
Research on a fabric defect sample generation algorithm based on improved StyleGAN2
inferred← citeshttps://doi.org/10.1080/00405000.2026.2713315openalex-snapshot
YOLOv11-ASE: fabric defect detection algorithm based on improved YOLOv11
inferred← citeshttps://doi.org/10.1080/00405000701547193openalex-snapshot
Identification of fabric defects based on discrete wavelet transform and back-propagation neural network
inferred← citeshttps://doi.org/10.1080/00405160408689005openalex-snapshot
IMAGE-PROCESSING IN TEXTILES
inferred← citeshttps://doi.org/10.1080/02533839.2009.9671496openalex-snapshot
Surface defect inspection of light guided plates with the computer‐vision assisted detection method
inferred← citeshttps://doi.org/10.1080/08839514.2017.1378012openalex-snapshot
Multi-Resolution and Noise-Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns
inferred← citeshttps://doi.org/10.1080/09528130701228800openalex-snapshot
Arabic writer identification based on hybrid spectral–statistical measures
inferred← citeshttps://doi.org/10.1080/09544828.2025.2467003openalex-snapshot
AI-centered detection equipment for appearance defects of yarn packages: a review of present status, development and challenges
inferred← citeshttps://doi.org/10.1080/10170660409509394openalex-snapshot
A T 2 STATISTICS BASED WAVELET CHARACTERISTIC MULTIVARIATE PROCESSING MODEL APPLIED TO AUTOMATED INSPECTION OF SURFACE DEFECTS
inferred← citeshttps://doi.org/10.1080/10170660709509049openalex-snapshot
A NOVEL VISION SYSTEM FOR CRT PANEL AUTO-INSPECTION
inferred← citeshttps://doi.org/10.1080/10170660709509060openalex-snapshot
APPLYING DISCRETE COSINE TRANSFORM AND GREY RELATIONAL ANALYSIS TO SURFACE DEFECT DETECTION OF LEDS
inferred← citeshttps://doi.org/10.1080/10170669.2012.700528openalex-snapshot
Automated quality inspection of surface defects on touch panels
inferred← citeshttps://doi.org/10.1088/1361-6501/acd5f2openalex-snapshot
Automatic pixel-level detection of tire defects based on a lightweight Transformer architecture
inferred← citeshttps://doi.org/10.1088/1361-6501/ad9cb0openalex-snapshot
An adaptive feature refinement network for pixel-level segmentation of surface defect
inferred← citeshttps://doi.org/10.1088/1742-6596/1631/1/012066openalex-snapshot
Scarf Defect Detection Method Based on Periodicity of Braided Texture
inferred← citeshttps://doi.org/10.1088/1742-6596/2450/1/012074openalex-snapshot
Deep Learning-based Defect Detection Method for Textile Materials
inferred← citeshttps://doi.org/10.1088/1742-6596/2562/1/012053openalex-snapshot
Fabric Defect Detection Using a One-class Classification Based on Depthwise Separable Convolution Autoencoder
inferred← citeshttps://doi.org/10.1088/2631-8695/ae5b3dopenalex-snapshot
LMSENet: lightweight multi-scale feature enhancement network for fabric defect detection
inferred← citeshttps://doi.org/10.1088/2631-8695/ae6f8bopenalex-snapshot
RCMFNet: a multi-scale feature fusion network based on re-calibration feature pyramid for surface defect detection of steels
inferred← citeshttps://doi.org/10.1108/09556220810878838openalex-snapshot
Automatic slub detection using Gabor filters
inferred← citeshttps://doi.org/10.1108/ijcst-02-2021-0017openalex-snapshot
A dual-branch balance saliency model based on discriminative feature for fabric defect detection
inferred← citeshttps://doi.org/10.1108/ijcst-12-2015-0134openalex-snapshot
Fabric defect detection via learned dictionary-based visual saliency
inferred← citeshttps://doi.org/10.1108/rjta-08-02-2004-b002openalex-snapshot
Detecting Defects in Weft-knitted Fabrics Using Texture-Recognition Methods
inferred← citeshttps://doi.org/10.1108/rjta-12-02-2008-b002openalex-snapshot
Directional Defects in Fabrics
inferred← citeshttps://doi.org/10.1108/rjta-13-01-2009-b002openalex-snapshot
New Methods for Objective Evaluation of Fabric Pilling by Frequency Domain Image Processing
inferred← citeshttps://doi.org/10.1108/rjta-19-01-2015-b006openalex-snapshot
A System for Analysis, Categorisation and Grading of Fabric Defects using Computer Vision
inferred← citeshttps://doi.org/10.1109/28.993164openalex-snapshot
Defect detection in textured materials using Gabor filters
inferred← citeshttps://doi.org/10.1109/access.2017.2667890openalex-snapshot
Fabric Defect Detection for Apparel Industry: A Nonlocal Sparse Representation Approach
inferred← citeshttps://doi.org/10.1109/access.2019.2896078openalex-snapshot
On the Use of Binary Features in a Rule-Based Approach for Defect Detection on Patterned Textiles
inferred← citeshttps://doi.org/10.1109/access.2019.2913620openalex-snapshot
Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/access.2019.2939843openalex-snapshot
Fabric Defect Detection via Low-Rank Decomposition With Gradient Information
inferred← citeshttps://doi.org/10.1109/access.2019.2959880openalex-snapshot
Fabric Defect Detection Method Combing Image Pyramid and Direction Template
inferred← citeshttps://doi.org/10.1109/access.2020.2978900openalex-snapshot
Fabric Defect Detection Based on Membership Degree of Regions
inferred← citeshttps://doi.org/10.1109/access.2020.3024554openalex-snapshot
Weakly-Supervised Defect Segmentation on Periodic Textures Using CycleGAN
inferred← citeshttps://doi.org/10.1109/access.2020.3024695openalex-snapshot
Sequential Detection of Image Defects for Patterned Fabrics
inferred← citeshttps://doi.org/10.1109/access.2023.3282993openalex-snapshot
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
inferred← citeshttps://doi.org/10.1109/access.2024.3396053openalex-snapshot
Intelligent Quality Control of Surface Defects in Fabrics: A Comprehensive Research Progress
inferred← citeshttps://doi.org/10.1109/access.2025.3596642openalex-snapshot
Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3601812openalex-snapshot
Density Detection Method of Three-Dimensional Tubular Woven Fabric Based on Fourier Transform
inferred← citeshttps://doi.org/10.1109/acpr.2017.34openalex-snapshot
Fabric Defect Detection Algorithm Based on Convolution Neural Network and Low-Rank Representation
inferred← citeshttps://doi.org/10.1109/aipr.2003.1284266openalex-snapshot
Defect detection on patterned Jacquard fabric
inferred← citeshttps://doi.org/10.1109/atsip.2014.6834589openalex-snapshot
Texture defect detection method based on H-image and Hotteling model T2
inferred← citeshttps://doi.org/10.1109/cecnet.2013.6703333openalex-snapshot
Fabric defect detection using wavelet decomposition
inferred← citeshttps://doi.org/10.1109/cisp.2009.5302265openalex-snapshot
The Recognition of Fabric Defects Using Wavelet Texture Analysis and LVQ Neural Network
inferred← citeshttps://doi.org/10.1109/cvpr.2010.5540198openalex-snapshot
The phase only transform for unsupervised surface defect detection
inferred← citeshttps://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927913openalex-snapshot
A Roberts cross operator combined with mathematical morphology algorithm for fabric defect detection
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