Works matching DE "TEXTILE defects"
Results: 50
Automated defect detection of woven fabric using artificial neural network.
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- Man-Made Textiles in India, 2019, v. 47, n. 4, p. 113
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Effect of process parameter on texturized yarn properties.
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- Man-Made Textiles in India, 2018, v. 46, n. 4, p. 127
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Research into Development of the Defect Detection System for Knitted Fabric Produced by the Circular Knitting Machines by Image Analysis.
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- Journal of Textile Engineering, 2018, v. 64, n. 2, p. 45, doi. 10.4188/jte.64.45
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A Set of Geometric Features for Neural Network-Based Textile Defect Classification.
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- ISRN Artificial Intelligence, 2012, v. 2012, p. 1, doi. 10.5402/2012/643473
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Sylvester Matrix-Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics.
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- Journal of Sensors, 2021, p. 1, doi. 10.1155/2021/6625421
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The fabric defect detection based on CIE L*a*b* color space using 2-D Gabor filter.
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- Journal of the Textile Institute, 2016, v. 107, n. 10, p. 1305, doi. 10.1080/00405000.2015.1102458
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Research of foreign fibers in cotton yarn defect model based on regression analysis.
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- Journal of the Textile Institute, 2016, v. 107, n. 9, p. 1089, doi. 10.1080/00405000.2015.1084150
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Unsupervised fabric defect segmentation using local patch approximation.
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- Journal of the Textile Institute, 2016, v. 107, n. 6, p. 800, doi. 10.1080/00405000.2015.1131440
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Defect detection on the fabric with complex texture via dual-scale over-complete dictionary.
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- Journal of the Textile Institute, 2016, v. 107, n. 6, p. 743, doi. 10.1080/00405000.2015.1061760
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The obtainment and recognition of raw silk defects based on machine vision and image analysis.
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- Journal of the Textile Institute, 2016, v. 107, n. 3, p. 316, doi. 10.1080/00405000.2015.1031517
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Objective evaluation of singeing efficiency by digital image processing.
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- Journal of the Textile Institute, 2016, v. 107, n. 2, p. 273, doi. 10.1080/00405000.2015.1027081
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A real-time computer vision-based platform for fabric inspection part 2: platform design and real-time implementation.
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- Journal of the Textile Institute, 2016, v. 107, n. 2, p. 264, doi. 10.1080/00405000.2015.1025559
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Dynamic failure behaviour of blended spun yarns during winding.
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- Journal of the Textile Institute, 2016, v. 107, n. 2, p. 242, doi. 10.1080/00405000.2015.1022095
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Detection of chemical fabric defects on the basis of morphological processing.
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- Journal of the Textile Institute, 2016, v. 107, n. 2, p. 233, doi. 10.1080/00405000.2015.1022094
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Fabric defect detection using an integrated model of bottom-up and top-down visual attention.
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- Journal of the Textile Institute, 2016, v. 107, n. 2, p. 215, doi. 10.1080/00405000.2015.1020680
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The effect of weaving machine setting on fabric skewness.
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- Journal of the Textile Institute, 2014, v. 105, n. 11, p. 1135, doi. 10.1080/00405000.2013.876149
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Textural fabric defect detection using statistical texture transformations and gradient search.
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- Journal of the Textile Institute, 2014, v. 105, n. 9, p. 998, doi. 10.1080/00405000.2013.876154
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Large-scale finite element analysis of a 3D angle-interlock woven composite undergoing low-cyclic three-point bending fatigue.
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- Journal of the Textile Institute, 2014, v. 105, n. 3, p. 275, doi. 10.1080/00405000.2013.836785
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Dictionary learning framework for fabric defect detection.
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- Journal of the Textile Institute, 2014, v. 105, n. 3, p. 223, doi. 10.1080/00405000.2013.836784
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Development and Implementation of an Experimental Machine to Study Woven Fabric Preforming Defects.
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- Experimental Techniques, 2022, v. 46, n. 2, p. 299, doi. 10.1007/s40799-021-00483-z
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Fabric defect detection using linear filtering and morphological operations.
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- Indian Journal of Fibre & Textile Research, 2014, v. 39, n. 3, p. 254
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Fabric Defect Detection Using L0 Gradient Minimization and Fuzzy C-Means.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 17, p. 3506, doi. 10.3390/app9173506
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RPDNet: Automatic Fabric Defect Detection Based on a Convolutional Neural Network and Repeated Pattern Analysis.
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- Sensors (14248220), 2022, v. 22, n. 16, p. 6226, doi. 10.3390/s22166226
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Online Detection of Fabric Defects Based on Improved CenterNet with Deformable Convolution.
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- Sensors (14248220), 2022, v. 22, n. 13, p. 4718, doi. 10.3390/s22134718
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A Robust Fabric Defect Detection Method Based on Improved RefineDet.
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- Sensors (14248220), 2020, v. 20, n. 15, p. 4260, doi. 10.3390/s20154260
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Automatic Fabric Defect Detection Using Cascaded Mixed Feature Pyramid with Guided Localization.
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- Sensors (14248220), 2020, v. 20, n. 3, p. 871, doi. 10.3390/s20030871
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Development and Application of Eddy Current Sensor Arrays for Process Integrated Inspection of Carbon Fibre Preforms.
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- Sensors (14248220), 2018, v. 18, n. 1, p. 4, doi. 10.3390/s18010004
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Experiments and progressive damage analyses of three-dimensional full five-directional braided composites under three-point bending.
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- Polymer Composites, 2016, v. 37, n. 8, p. 2478, doi. 10.1002/pc.23435
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Fabric Deformation During Liquid Treatment in a Roller Washing Machine with a Lengthened Feed Path.
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- Fibre Chemistry, 2017, v. 49, n. 2, p. 118, doi. 10.1007/s10692-017-9854-2
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Damage Rate for Warp and Weft Yarns on a Loom in Manufacture of Multilayer Combination Fabric.
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- Fibre Chemistry, 2017, v. 49, n. 1, p. 51, doi. 10.1007/s10692-017-9841-7
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One-Dimensional Polymeric Material Aging and Wear Model.
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- Fibre Chemistry, 2017, v. 49, n. 1, p. 76, doi. 10.1007/s10692-017-9847-1
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Model for Elongation and Failure of Fabric, Taking Into Account Random Variations in the Yarn Parameters and Structure.
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- Fibre Chemistry, 2015, v. 46, n. 6, p. 378, doi. 10.1007/s10692-015-9625-x
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Method for detecting defect of mesh fabric of improved ViBe.
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- Journal of Xi'an Polytechnic University, 2019, v. 33, n. 5, p. 1, doi. 10.13338/j.issn.1674-649x.2019.05.007
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Oštećenja tekstilija u kemijskom čišćenju.
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- Tekstil: Journal of Textile & Clothing Technology, 2012, v. 61, n. 1-6, p. 116
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Bilayer Markov Random Field Method for Detecting Defects in Patterned Fabric.
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- Journal of Circuits, Systems & Computers, 2022, v. 31, n. 3, p. 1, doi. 10.1142/S021812662250058X
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A Sobel Operator Combined with Patch Statistics Algorithm for Fabric Defect Detection.
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- KSII Transactions on Internet & Information Systems, 2020, v. 14, n. 2, p. 687, doi. 10.3837/tiis.2020.02.012
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Fabric defect fetection via weighted low-rank decomposition and Laplacian regularization.
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- Journal of Engineered Fabrics & Fibers (JEFF), 2021, v. 16, p. 1, doi. 10.1177/1558925020957654
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Fabric defect detection using the improved YOLOv3 model.
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- Journal of Engineered Fabrics & Fibers (JEFF), 2021, v. 16, p. 1, doi. 10.1177/1558925020908268
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Fabric defect fetection via weighted low-rank decomposition and Laplacian regularization.
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- Journal of Engineered Fabrics & Fibers (JEFF), 2020, v. 15, n. 1, p. 1, doi. 10.1177/1558925020957654
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- Article
Fabric defect detection using the improved YOLOv3 model.
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- Journal of Engineered Fabrics & Fibers (JEFF), 2020, v. 15, n. 1, p. 1, doi. 10.1177/1558925020908268
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- Article
Defect Detection on Patterned Fabrics Using Distance Matching Function and Regular Band.
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- Journal of Engineered Fabrics & Fibers (JEFF), 2015, v. 10, n. 2, p. 85, doi. 10.1177/155892501501000210
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Automatic Unsupervised Fabric Defect Detection Based on Self-Feature Comparison.
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- Electronics (2079-9292), 2021, v. 10, n. 21, p. 2652, doi. 10.3390/electronics10212652
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Combined fabric defects detection approach and quadtree decomposition.
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- Journal of Industrial Textiles, 2012, v. 41, n. 4, p. 331, doi. 10.1177/1528083711419877
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牛津纺的织造工艺优化.
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- Cotton Textile Technology, 2018, v. 46, n. 6, p. 56
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Fabric defect detection based on golden image subtraction.
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- Coloration Technology, 2017, v. 133, n. 1, p. 26, doi. 10.1111/cote.12239
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Real-Time Image Defect Detection System of Cloth Digital Printing Machine.
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- Computational Intelligence & Neuroscience, 2022, p. 1, doi. 10.1155/2022/5625945
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Root Cause Analysis of Textile Defects Using Scanning Electron Microscopy.
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- BTRA Scan, 2024, v. 53, n. 4, p. 5, doi. 10.70225/839567asqcpk
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FABRIC DEFECTS - ROOT CAUSE ANALYSIS.
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- BTRA Scan, 2014, v. 44, n. 3, p. 11
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Fabric defect inspection using prior knowledge guided least squares regression.
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- Multimedia Tools & Applications, 2017, v. 76, n. 3, p. 4141, doi. 10.1007/s11042-015-3041-3
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Fourier dönüşümü kullanilarak gerçek zamanlɪ kumaş hatasi tespiti.
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- Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,, 2017, v. 32, n. 1, p. 159, doi. 10.17341/gazimmfd.300604
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