20.7.3.6 Inspection -- Textiles, Fabrics, Fibers

EVS Elbit Vision Systems Ltd.,
2004.
WWW Link. Or (it redirects to above site):
WWW Link. Vendor, Inspection. Industrial inspection systems, apply to fabric.

Wintriss Engineering Corporation,
1989.
WWW Link. Vendor, Inspection. Industrial inspection systems, apply to webs.

Siew, L.H., Hodgson, R.M., and Wood, E.J.,
Texture Measures for Carpet Wear Assessment,
PAMI(10), No. 1, January 1988, pp. 92-105.
IEEE DOI BibRef 8801

Hoang, K., Nachimuthu, A.,
Image-Processing Techniques for Leather Hide Ranking in the Footwear Industry,
MVA(9), No. 3, 1996, pp. 119-129.
Springer DOI 9611
BibRef

Campbell, J.G., Fraley, C., Murtagh, F., Raftery, A.E.,
Linear Flaw Detection in Woven Textiles Using Model Based Clustering,
PRL(18), No. 14, December 1997, pp. 1539-1548. 9806
BibRef

Han, Y.J.[Young J.], Cho, Y.J.[Yong-Jin], Lambert, W.E.[Wade E.], Bragg, C.K.[Charles K.],
Identification and Measurement of Convolutions in Cotton Fiber Using Image Analysis,
AIR(12), No. 1-3, February 1998, pp. 201-211.
WWW Link. 9807
BibRef

Yazdi, H.R., King, T.G.,
Application of 'Vision in the Loop' for Inspection of Lace Fabric,
RealTimeImg(4), No. 5, October 1998, pp. 317-332. BibRef 9810

Bahlmann, C.[Claus], Heidemann, G.[Gunther], Ritter, H.[Helge],
Artificial neural networks for automated quality control of textile seams,
PR(32), No. 6, June 1999, pp. 1049-1060.
Elsevier DOI BibRef 9906

Weickert, J.[Joachim],
A Real-Time Algorithm for Assessing Inhomogeneities in Fabrics,
RealTimeImg(5), No. 1, February 1999, pp. 15-22. BibRef 9902

Hajimowlana, S.H.[S. Hossain], Muscedere, R.[Roberto], Jullien, G.A.[Graham A.], Roberts, J.W.[James W.],
An In-Camera Data Stream Processing System for Defect Detection in Web Inspection Tasks,
RealTimeImg(5), No. 1, February 1999, pp. 23-34. BibRef 9902

Campbell, J.G., Fraley, C., Stanford, D., Murtagh, F., Raftery, A.E.,
Model-based methods for textile fault detection,
IJIST(10), No. 4, 1999, pp. 339-346. BibRef 9900

Bodnarova, A., Bennamoun, M., Kubik, K.K.,
Suitability Analysis of Techniques for Flaw Detection in Textiles using Texture Analysis,
PAA(3), No. 3 2000, pp. 254-266. 0010
BibRef

Bodnarova, A., Bennamoun, M., Latham, S.,
Optimal Gabor filters for textile flaw detection,
PR(35), No. 12, December 2002, pp. 2973-2991.
Elsevier DOI 0209
BibRef
Earlier:
Textile Flaw Detection Using Optimal Gabor Filters,
ICPR00(Vol IV: 799-802).
IEEE DOI 0009
BibRef

Mamic, G., Bennamoun, M.,
Automatic Flaw Detection in Textiles Using a Neyman-Pearson Detector,
ICPR00(Vol IV: 767-770).
IEEE DOI 0009
BibRef

Kubik, K.K.[Kurt K.], Bennamoun, M.[Mohammed], Bodnarova, A.[Adriana],
Improved Technologies for Detection of Textile Defects,
ICPR98(Open). 9808
BibRef

Stojanovic, R.[Radovan], Mitropulos, P.[Panagiotis], Koulamas, C.[Christos], Karayiannis, Y.[Yorgos], Koubias, S.[Stavros], Papadopoulos, G.[George],
Real-Time Vision-Based System for Textile Fabric Inspection,
RealTimeImg(7), No. 6, December 2001, pp. 507-518.
DOI Link 0202
BibRef

Heleno, P.[Paulo], Davies, R.[Roger], Correia, B.A.B.[Bento A. Brázio], Dinis, J.[João],
A Machine Vision Quality Control System for Industrial Acrylic Fibre Production,
JASP(2002), No. 7, July 2002, pp. 728-735. 0208
BibRef

Hartelius, K.[Karsten], Carstensen, J.M.[Jens Michael],
Bayesian grid matching,
PAMI(25), No. 2, February 2003, pp. 162-173.
IEEE DOI 0301
Simulated annealing approach for finding deformable grids. Used to find variations in textiles. BibRef

Kumar, A.[Ajay],
Neural network based detection of local textile defects,
PR(36), No. 7, July 2003, pp. 1645-1659.
Elsevier DOI 0304
BibRef

Svensson, S., Aronsson, M.,
Using distance transform based algorithms for extracting measures of the fiber network in volume images of paper,
SMC-B(33), No. 4, August 2003, pp. 562-571.
IEEE Abstract. 0308
BibRef

Leitner, R., Mairer, H., Kercek, A.,
Real-time classification of polymers with NIR spectral imaging and blob analysis,
RealTimeImg(9), No. 4, August 2003, pp. 245-251.
Elsevier DOI 0311
BibRef

Jain, A.K.[Anil K.], Dubuisson-Jolly, M.P.[Marie-Pierre],
Segmentation of X-ray and C-scan images of fiber reinforced composite materials,
PR(25), No. 3, March 1992, pp. 257-270.
Elsevier DOI 0401
BibRef

Yang, X.Z.[Xue-Zhi], Pang, G.[Grantham], Yung, N.H.C.[Nelson H.C.],
Discriminative training approaches to fabric defect classification based on wavelet transform,
PR(37), No. 5, May 2004, pp. 889-899.
Elsevier DOI 0405
BibRef

Ngan, H.Y.T.[Henry Y.T.], Pang, G.K.H.[Grantham K.H.], Yung, N.H.C.[Nelson H.C.],
Automated fabric defect detection: A review,
IVC(29), No. 7, June 2011, pp. 442-458.
Elsevier DOI 1101
Survey, Fabric Defects. Fabric defect detection; Textile; Motif-based; Automation; Quality control; Manufacturing BibRef

Ngan, H.Y.T.[Henry Y.T.], Pang, G.K.H.[Grantham K.H.], Yung, S.P., Ng, M.K.[Michael K.],
Wavelet based methods on patterned fabric defect detection,
PR(38), No. 4, April 2005, pp. 559-576.
Elsevier DOI 0501
BibRef
Earlier:
Defect detection on patterned jacquard fabric,
AIPR03(163-168).
IEEE DOI 0310
BibRef

Ngan, H.Y.T.[Henry Y.T.], Pang, G.K.H.[Grantham K.H.], Yung, N.H.C.[Nelson H.C.],
Motif-based defect detection for patterned fabric,
PR(41), No. 6, June 2008, pp. 1878-1894.
Elsevier DOI 0802
BibRef
Earlier:
Patterned Fabric Defect Detection using a Motif-Based Approach,
ICIP07(II: 33-36).
IEEE DOI 0709
Wallpaper group; Lattice; Motif; Patterned fabric; Defect detection; Texture analysis BibRef

Ngan, H.Y.T.[Henry Y.T.], Pang, G.K.H.[Grantham K.H.], Yung, N.H.C.[Nelson H.C.],
Ellipsoidal decision regions for motif-based patterned fabric defect detection,
PR(43), No. 6, June 2010, pp. 2132-2144.
Elsevier DOI 1003
Motif; Patterned fabric; Defect detection; Ellipsoidal decision region; Max-min decision region BibRef

Abouelela, A.[Ahmed], Abbas, H.M.[Hazem M.], Eldeeb, H.[Hesham], Wahdan, A.A.[Abdelmonem A.], Nassar, S.M.[Salwa M.],
Automated vision system for localizing structural defects in textile fabrics,
PRL(26), No. 10, 15 July 2005, pp. 1435-1443.
Elsevier DOI 0506
BibRef

Rohrmus, D.R.,
Invariant and adaptive geometrical texture features for defect detection and classification,
PR(38), No. 10, October 2005, pp. 1546-1559.
Elsevier DOI 0508
BibRef
Earlier:
Invariant web defect detection and classification system,
CVPR00(II: 794-795).
IEEE DOI 0403
BibRef

Zhang, L.W.[Li-Wei], Dehghani, A.[Abbas], Su, Z.W.[Zhen-Wei], King, T.[Tim], Greenwood, B.[Barry], Levesley, M.[Martin],
Real-time automated visual inspection system for contaminant removal from wool,
RealTimeImg(11), No. 4, August 2005, pp. 257-269.
Elsevier DOI 0508
BibRef

Karras, D.A.,
Improved Defect Detection In Textile Visual Inspection Using Wavelet Analysis and Support Vector Machines,
GVIP(05), No. V4, 2005, pp. xx-yy
HTML Version. BibRef 0500

Yang, X., Pang, G., Yung, N.,
Robust fabric defect detection and classification using multiple adaptive wavelets,
VISP(152), No. 6, December 2005, pp. 715-723.
DOI Link 0512
BibRef

Arivazhagan, S., Ganesan, L., Bama, S.,
Fault segmentation in fabric images using Gabor wavelet transform,
MVA(16), No. 6, 2006, pp. 356-363.
Springer DOI 0603

See also Texture classification using ridgelet transform. BibRef

Bergonnier, S.[Sandra], Hild, F.[François], Roux, S.[Stéphane],
Local anisotropy analysis for non-smooth images,
PR(40), No. 2, February 2007, pp. 544-556.
Elsevier DOI 0611
Texture analysis; Padding; Orientation; Fibrous material BibRef

Le Clerc, H.[Hugo], Périé, J.N.[Jean-Noël], Roux, S.[Stéphane], Hild, F.[François],
Integrated Digital Image Correlation for the Identification of Mechanical Properties,
MIRAGE09(161-171).
Springer DOI 0905
BibRef

Han, Y.F.[Yan-Fang], Shi, P.F.[Peng-Fei],
An adaptive level-selecting wavelet transform for texture defect detection,
IVC(25), No. 8, 1 August 2007, pp. 1239-1248.
Elsevier DOI 0706
Wavelet transform; Co-occurrence matrix; Defect detection; Texture image processing BibRef

Pereira Durão, L.M.[Luis Miguel], Magalhães, A.G.[António G.], Tavares, J.M.R.S.[João Manuel R. S.],
Analyzing objects in images for estimating the delamination influence on load carrying capacity of composite laminates,
ELCVIA(7), No. 2, 2008, pp. 11-21.
DOI Link 0806
BibRef

Turtinen, M.[Markus], PietikÄinen, M.[Matti], SilvÉn, O.[Olli],
Visual Characterization of Paper Using Isomap and Local Binary Patterns,
IEICE(E89-D), No. 7, July 2006, pp. 2076-2083.
DOI Link 0607
BibRef

Shi, M.H.[Mei-Hong], Jiang, S.S.[Shou-Shan], Wang, H.R.[Hui-Ran], Xu, B.G.[Bu-Gao],
A Simplified pulse-coupled neural network for adaptive segmentation of fabric defects,
MVA(20), No. 2, February 2009, pp. xx-yy.
Springer DOI 0902
BibRef

Mak, K.L., Peng, P., Yiu, K.F.C.,
Fabric defect detection using morphological filters,
IVC(27), No. 10, 2 September 2009, pp. 1585-1592.
Elsevier DOI 0906
Gabor wavelet network; Morphological filter; Defect detection; Quality control; Textile fabrics BibRef

Ralló, M.[Miquel], Millán, M.S.[María S.], Escofet, J.[Jaume],
Unsupervised novelty detection using Gabor filters for defect segmentation in textures,
JOSA-A(26), No. 9, September 2009, pp. 1967-1976.
WWW Link. 0910
BibRef

Zhang, Y.[Yu], Lu, Z.Y.[Zhao-Yang], Li, J.[Jing],
Fabric defect classification using radial basis function network,
PRL(31), No. 13, 1 October 2010, pp. 2033-2042.
Elsevier DOI 1003
Fabric defect classification; Radial basis function network; Gaussian mixture model; Feature extraction; Pattern classification BibRef

Carvalho, V.H.[Vítor H.], Belsley, M.S.[Michael S.], Vasconcelos, R.M.[Rosa M.], Soares, F.O.[Filomena O.],
Determination of yarn production characteristics using image processing,
IJIST(20), No. 4, December 2010, pp. 391-399.
DOI Link 1011
BibRef

Salem, Y.B.[Yassine Ben], Nasri, S.[Salem],
Automatic recognition of woven fabrics based on texture and using SVM,
SIViP(4), No. 4, November 2010, pp. 429-434.
WWW Link. 1101
BibRef

Pham, T.Q.[Tuan Q.], Perry, S.W.[Stuart W.], Fletcher, P.A.[Peter A.], Ashman, R.A.,
Paper Fingerprinting Using alpha-Masked Image Matching,
IET-CV(5), No. 4, 2011, pp. 232-243.
DOI Link 1107
BibRef
Earlier: A1, A2, A3, Only: DICTA09(439-446).
IEEE DOI 0912
BibRef

Fabijanska, A.[Anna], Jackowska-Strumitto, L.[Lidia],
Image processing and analysis algorithms for yarn hairiness determination,
MVA(23), No. 3, May 2012, pp. 527-540.
WWW Link. 1204
BibRef

Strokina, N.[Nataliya], Mankki, A.[Aki], Eerola, T.[Tuomas], Lensu, L.[Lasse], Käyhkö, J.[Jari], Kälviäinen, H.[Heikki],
Framework for developing image-based dirt particle classifiers for dry pulp sheets,
MVA(24), No. 4, May 2013, pp. 869-881.
Springer DOI 1304
BibRef

Bissi, L.[Lucia], Baruffa, G.[Giuseppe], Placidi, P.[Pisana], Ricci, E.[Elisa], Scorzoni, A.[Andrea], Valigi, P.[Paolo],
Automated defect detection in uniform and structured fabrics using Gabor filters and PCA,
JVCIR(24), No. 7, 2013, pp. 838-845.
Elsevier DOI 1309
Automated textile inspection BibRef

Shahriar, M.[Muneem], Scott-Fleming, I.[Ian], Sari-Sarraf, H.[Hamed], Hequet, E.[Eric],
A machine vision system to estimate cotton fiber maturity from longitudinal view using a transfer learning approach,
MVA(24), No. 8, November 2013, pp. 1661-1683.
Springer DOI 1310
BibRef
Earlier: A1, A3, A4, Only:
Feature-based transfer learning to train a novel cotton imaging system,
Southwest12(193-196).
IEEE DOI 1205
BibRef

Darwish, S.M.,
Soft computing applied to the build of textile defects inspection system,
IET-CV(7), No. 5, October 2013, pp. 373-381.
DOI Link 1412
ant colony optimisation BibRef

Schneider, D.[Dorian], Holtermann, T.[Timm], Merhof, D.[Dorit],
A traverse inspection system for high precision visual on-loom fabric defect detection,
MVA(25), No. 6, 2014, pp. 1585-1599.
WWW Link. 1408
BibRef

Liang, Z., Xu, B., Chi, Z., Feng, D.D.,
Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation,
Cyber(44), No. 8, August 2014, pp. 1249-1258.
IEEE DOI 1407
Computational modeling. Saliency in context of multiple images. BibRef

Hwang, I.S.[In-Seong], Jeon, S.W.[Seung-Woo], Cho, B.[Beobkeun], Choe, Y.[Yoonsik],
Efficient Cloth Pattern Recognition Using Random Ferns,
IEICE(E98-D), No. 1, February 2015, pp. 475-478.
WWW Link. 1503
BibRef

van der Maaten, L., Erdmann, R.,
Automatic Thread-Level Canvas Analysis: A machine-learning approach to analyzing the canvas of paintings,
SPMag(32), No. 4, July 2015, pp. 38-45.
IEEE DOI 1506
Algorithm design and analysis BibRef

Yang, H., Lu, J., Brown, W., Daubechies, I., Ying, L.,
Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation,
SPMag(32), No. 4, July 2015, pp. 55-63.
IEEE DOI 1506
Art BibRef

Zambal, S.[Sebastian], Palfinger, W.[Werner], Stöger, M.[Matthias], Eitzinger, C.[Christian],
Accurate fibre orientation measurement for carbon fibre surfaces,
PR(48), No. 11, 2015, pp. 3324-3332.
Elsevier DOI 1506
Quality control BibRef

Thumfart, S.[Stefan], Palfinger, W.[Werner],
Accurate Fibre Orientation Measurement for Carbon Fibre Surfaces,
CAIP13(II:75-82).
Springer DOI 1311
BibRef

Hirvonen, J., Kallio, P.,
Automatic image-based detection and inspection of paper fibres for grasping,
IET-CV(9), No. 4, 2015, pp. 588-594.
DOI Link 1509
computational geometry BibRef

Hanmandlu, M.[Madasu], Choudhury, D.[Dilip], Dash, S.[Sujata],
Detection of defects in fabrics using topothesy fractal dimension features,
SIViP(9), No. 7, October 2015, pp. 1521-1530.
WWW Link. 1509
BibRef

Tsang, C.S.C.[Colin S.C.], Ngan, H.Y.T.[Henry Y.T.], Pang, G.K.H.[Grantham K.H.],
Fabric inspection based on the Elo rating method,
PR(51), No. 1, 2016, pp. 378-394.
Elsevier DOI 1601
Elo rating BibRef

Ramisa, A.[Arnau], Alenyà, G.[Guillem], Moreno-Noguer, F.[Francesc], Torras, C.[Carme],
A 3D descriptor to detect task-oriented grasping points in clothing,
PR(60), No. 1, 2016, pp. 936-948.
Elsevier DOI 1609
3D descriptor. I.e. for hanging a shirt on a hook. BibRef

Zhou, Y., Yu, H., Simmons, J., Przybyla, C.P., Wang, S.,
Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials,
IP(25), No. 10, October 2016, pp. 4931-4942.
IEEE DOI 1610
Kalman filters BibRef

Li, Y.D.[Yun-Dong], Zhang, J.Y.[Ji-Yue], Lin, Y.B.[Yu-Bing],
Combining Fisher Criterion and Deep Learning for Patterned Fabric Defect Inspection,
IEICE(E99-D), No. 11, November 2016, pp. 2840-2842.
WWW Link. 1611
BibRef

Yildiz, K.[Kazim],
Dimensionality reduction-based feature extraction and classification on fleece fabric images,
SIViP(11), No. 2, February 2017, pp. 317-323.
WWW Link. 1702
BibRef

Davis, A.[Abe], Bouman, K.L.[Katherine L.], Chen, J.G.[Justin G.], Rubinstein, M.[Michael], Büyüköztürk, O.[Oral], Durand, F.[Fredo], Freeman, W.T.[William T.],
Visual Vibrometry: Estimating Material Properties from Small Motions in Video,
PAMI(39), No. 4, April 2017, pp. 732-745.
IEEE DOI 1703
BibRef
Earlier: A1, A2, A3, A4, A6, A7, Only: CVPR15(5335-5343)
IEEE DOI 1510
Damping BibRef

Feng, B.T.[Berthy T.], Ogren, A.C.[Alexander C.], Daraio, C.[Chiara], Bouman, K.L.[Katherine L.],
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video,
CVPR22(16210-16219)
IEEE DOI 2210
Vibrations, Young's modulus, Visualization, Tomography, Sensor phenomena and characterization, Turning, Computational photography BibRef

Bouman, K.L.[Katherine L.], Xiao, B.[Bei], Battaglia, P.[Peter], Freeman, W.T.[William T.],
Estimating the Material Properties of Fabric from Video,
ICCV13(1984-1991)
IEEE DOI 1403
BibRef

Gundogdu, E., Ozkan, H., Alatan, A.A.[A. Aydin], Chiverton, J.P., Ige, O., Barnett, S.J., Parry, T.,
Multiscale Shannon's Entropy Modeling of Orientation and Distance in Steel Fiber Micro-Tomography Data,
IP(26), No. 11, November 2017, pp. 5284-5297.
IEEE DOI 1709
civil engineering computing, reinforced concrete, Entropy, Gaussian mixture model, BibRef

Ng, M.K.[Michael K.], Ngan, H.Y.T.[Henry Y. T.], Yuan, X.M.[Xiao-Ming], Zhang, W.X.[Wen-Xing],
Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations,
SIIMS(10), No. 4, 2017, pp. 2140-2164.
DOI Link 1801
BibRef

Deng, D.G.[Dai-Guo], Wang, R.[Ruomei], Wu, H.F.[He-Feng], He, H.Y.[Hua-Yong], Li, Q.[Qi], Luo, X.N.[Xiao-Nan],
Learning deep similarity models with focus ranking for fabric image retrieval,
IVC(70), 2018, pp. 11-20.
Elsevier DOI 1804
Convolutional neural network, Fabric image retrieval, Metric embedding, Focus ranking BibRef

Hu, Y., Long, Z., AlRegib, G.,
A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting,
SPLetters(25), No. 6, June 2018, pp. 758-762.
IEEE DOI 1806
clothing, clothing industry, fabrics, feature extraction, image matching, image texture, thread counting BibRef

Feng, Z.L.[Zun-Lei], Liang, W.X.[Wei-Xin], Tao, D.C.[Dao-Cheng], Sun, L.[Li], Song, A.X.Z.M.L.[An-Xiang Zeng Ming-Li],
CU-Net: Component Unmixing Network for Textile Fiber Identification,
IJCV(127), No. 10, October 2019, pp. 1443-1454.
Springer DOI 1909
BibRef

Tian, H., Li, F.,
Autoencoder-Based Fabric Defect Detection with Cross- Patch Similarity,
MVA19(1-6)
DOI Link 1911
fabrics, image classification, image colour analysis, image reconstruction, image resolution, Correlation BibRef

Sun, G.D.[Guo-Dong], Zhou, Z.[Zhen], Gao, Y.[Yuan], Xu, Y.[Yun], Xu, L.[Liang], Lin, S.[Song],
A Fast Fabric Defect Detection Framework for Multi-Layer Convolutional Neural Network Based on Histogram Back-Projection,
IEICE(E102-D), No. 12, December 2019, pp. 2504-2514.
WWW Link. 1912
BibRef

Liu, W.[Wei], Chang, X.Z.[Xing-Zhi], Liang, J.Z.[Jiu-Zhen], Hou, Z.J.[Zhen-Jie], Xu, L.[Li],
Defect inspection research on fabric based on template correction and primitive decomposition,
IET-IPR(13), No. 14, 12 December 2019, pp. 2916-2928.
DOI Link 1912
BibRef

Yildiz, K.[Kazim],
Identification of wool and mohair fibres with texture feature extraction and deep learning,
IET-IPR(14), No. 2, February 2020, pp. 348-353.
DOI Link 2001
BibRef

Liu, J., Wang, C., Su, H., Du, B., Tao, D.,
Multistage GAN for Fabric Defect Detection,
IP(29), 2020, pp. 3388-3400.
IEEE DOI 2002
Fabric defect detection, deep learning, semantic segmentation, generative adversarial network BibRef

Zhang, K.B.[Kai-Bing], Yan, Y.[Yadi], Li, P.F.[Peng-Fei], Jing, J.F.[Jun-Feng], Wang, Z.[Zhen], Xiong, Z.G.[Zeng-Gang],
Fabric defect detection using saliency of multi-scale local steering kernel,
IET-IPR(14), No. 7, 29 May 2020, pp. 1265-1272.
DOI Link 2005
BibRef

Mohammed, K.M.C.[Khwaja Muinuddin Chisti], Kumar, S.S.[S. Srinivas], Prasad, G.,
Defective texture classification using optimized neural network structure,
PRL(135), 2020, pp. 228-236.
Elsevier DOI 2006
Textile industry, Grey-Level-Co-occurrence-Matrix(GLCM), Grey-Level-Run-Length-Matrix(GLRLM), Machine learning BibRef

Schwartz, G.[Gabriel], Nishino, K.[Ko],
Recognizing Material Properties from Images,
PAMI(42), No. 8, August 2020, pp. 1981-1995.
IEEE DOI 2007
BibRef
Earlier:
Automatically discovering local visual material attributes,
CVPR15(3565-3573)
IEEE DOI 1510
Visualization, Image recognition, Material properties, Shape, Face, Visual perception, Semantics, Visual material attributes, material recognition BibRef

Xiang, J., Zhang, N., Pan, R., Gao, W.,
Fabric Retrieval Based on Multi-Task Learning,
IP(30), 2021, pp. 1570-1582.
IEEE DOI 2101
Fabrics, Image retrieval, Task analysis, Image color analysis, Semantics, Feature extraction, Image representation, CBIR, multi-task learning BibRef

Zeng, Z.Y.[Zhao-Yang], Liu, B.[Bei], Fu, J.L.[Jian-Long], Chao, H.Y.[Hong-Yang],
Reference-Based Defect Detection Network,
IP(30), 2021, pp. 6637-6647.
IEEE DOI 2108
Detectors, Feature extraction, Task analysis, Proposals, Object detection, Visualization, Fabrics, Defect detection, context BibRef

Li, Z.[Zilu], Guo, H.D.[Hua-Dong], Zhang, L.[Lu], Liang, D.[Dong], Zhu, Q.[Qi], Liu, X.[Xvting], Zhou, H.[Heng],
Time-Series Monitoring of Dust-Proof Nets Covering Urban Construction Waste by Multispectral Images in Zhengzhou, China,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Xu, W.C.[Wei-Cheng], Yang, W.G.[Wei-Guang], Chen, P.C.[Peng-Chao], Zhan, Y.L.[Yi-Long], Zhang, L.[Lei], Lan, Y.[Yubin],
Cotton Fiber Quality Estimation Based on Machine Learning Using Time Series UAV Remote Sensing Data,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Xu, T.[Tao], Ma, A.[Aisong], Lv, H.[Huan], Dai, Y.[Yang], Lin, S.[Shoujin], Tan, H.[Haihui],
A lightweight network of near cotton-coloured impurity detection method in raw cotton based on weighted feature fusion,
IET-IPR(17), No. 9, 2023, pp. 2585-2595.
DOI Link 2307
anchor-free, cotton impurity detection, improved YOLO v4-tiny, lightweight network, weighted feature fusion BibRef

Geints, Y.E.[Yury E.],
Angular Patterns of Nonlinear Emission in Dye Water Droplets Stimulated by a Femtosecond Laser Pulse for LiDAR Applications,
RS(15), No. 16, 2023, pp. 4004.
DOI Link 2309
BibRef

Luo, J.T.[Jin-Tao], Gao, C.[Can], Wan, D.[Da], Shen, L.L.[Lin-Lin],
Texture and semantic convolutional auto-encoder for anomaly detection and segmentation,
IET-CV(17), No. 7, 2023, pp. 829-843.
DOI Link 2310
textile industry, vision defects BibRef

Ji, Y.X.[Ya-Xin], Di, L.[Lan],
Textile defect detection based on multi-proportion spatial attention mechanism and channel memory feature fusion network,
IET-IPR(18), No. 2, 2024, pp. 412-427.
DOI Link 2402
computer vision, image classification, image processing, neural nets BibRef

Chen, Z.[Zhao], Xiu, Y.H.[Ya-Hui], Zheng, Y.X.[Yu-Xin], Wang, X.X.[Xin-Xin], Wang, Q.[Qian], Guo, D.[Danqi], Wan, Y.[Yan],
A weakly supervised learning pipeline for profiled fibre inspection,
IET-IPR(18), No. 3, 2024, pp. 772-784.
DOI Link 2402
composite similarity measurement, profiled fibre recognition, shape factor estimation, weakly supervised learning BibRef

Wei, W.[Wei], Zhou, X.[Xue], Huang, Z.[Zhen], Su, Z.W.[Zhi-Wei],
Feature comparison residuals for foreign fibre classification model,
IET-IPR(18), No. 8, 2024, pp. 2179-2190.
DOI Link 2406
agricultural products, image recognition, learning (artificial intelligence) BibRef

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Vacuum Tube-Based Train Waste Collection and Segregation Technique,
ICCVMI23(1-6)
IEEE DOI 2403
Waste management, Industries, Rails, Vacuum systems, Sensor systems, Electron tubes, Sensors, Waste Management, Indian Railways, Failure Detection BibRef

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ICIVC22(81-86)
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ICIP21(2623-2627)
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DICTA21(01-08)
IEEE DOI 2201
Industries, Training, Adaptation models, Automation, Digital images, Pipelines, Detectors BibRef

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convolutional neural nets, fabrics, feature extraction, image classification, image texture, Softmax BibRef

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WACV20(2199-2206)
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ICIP18(1028-1032)
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Classification algorithms, Art, Training, Machine learning algorithms, Silver, Visualization, multiscale analysis BibRef

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ISCV18(1-4)
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feature extraction, image classification, image texture, LBPs, classification accuracy, classification rate, texture classification BibRef

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ICIP17(2776-2780)
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Fabrics, Indexes, Matrix decomposition, Sparse matrices, Task analysis, Fabric Defect Detection, Low-rank and Sparse Matrix Decomposition BibRef

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ICIP17(4108-4112)
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Fabrics, Gray-scale, Indexes, Microstructure, Optical retarders, Powders, Sparse matrices, Mueller matrix, classification, silk, sparse representation BibRef

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CVPR98(938-944).
IEEE DOI BibRef 9800

Deutschl, E.[Edwin], Rinnhofer, A.[Alfred],
Tablet Quality Assurance in Real Time,
ICPR98(Vol II: 1731-1734).
IEEE DOI 9808
BibRef

Fisker, R.[Rune], and Carstensen, J.M.[Jens Michael],
Automated Visual Inspection of Textile,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Lovergine, F.P., Branca, A., Attolico, G., and Distante, A.,
Leather Inspection by Oriented Texture Analysis with a Morphological Approach,
ICIP97(II: 669-671).
IEEE DOI BibRef 9700
Earlier: A2, A1, A3, A4:
Defect detection on leather by oriented singularities,
CAIP97(223-230).
Springer DOI 9709
BibRef

Branca, A., Abbate, M.G., Lovergine, F.P., Attolico, G., Distante, A.,
Leather inspection through singularities detection using wavelet transforms,
CIAP97(II: 584-591).
Springer DOI 9709
BibRef

Weickert, J.,
A Model for the Cloudiness of Fabrics,
In H. Neunzert (Ed.): Progress in Industrial Mathematics at ECMI 94Wiley-Teubner, Chichester, 1996, pp. 258-265. Laplacian pyramid analysis. BibRef 9600

Bres, S., Emptoz, H., Merle, G.,
Transparency quantification. Application to composite materials quality controls by image processing,
CAIP93(721-725).
Springer DOI 9309
BibRef

Neubauer, C.,
Segmentation Of Defects In Textile Fabric,
ICPR92(I:688-691).
IEEE DOI BibRef 9200

Glazer, F.C.,
Fiber identification in microscopy by ridge detection and grouping,
WACV92(205-212).
IEEE DOI 0403
BibRef

Lerch, A., Chetverikov, D.,
Correction Of Line Drawings for Image Segmentation In Leather Industry,
ICPR92(I:45-48).
IEEE DOI
See also Multiresolution Algorithm for Rotation-Invariant Matching of Planar Shapes, A. BibRef 9200

Norton-Wayne, L., Bradshaw, M., Jewell, A.J.,
Machine Vision Inspection of Web Textile Fabric,
BMVC92(xx-yy).
PDF File. 9209
BibRef

Jian, W.[Wang], Li, Y.,
Evaluation of yarn regularity using computer vision,
ICPR88(II: 854-856).
IEEE DOI 8811
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Agriculture, Inspection -- Food Products, Plants, Farms .