Fabric Defect Detection Based on Distortion Correction and Visual Salient Features
LONG Hanbin1, DI Lan1, LIANG Jiuzhen2
1. School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122;
2. College of Information Science and Engineering,Changzhou University,Changzhou 213164
Aiming at fabric defect detection with complex patterns,a fabric defect detection method based on distortion correction and visual salient features is proposed.Firstly,the image period is calculated to obtain the best block template,and then the image distortion is corrected according to the template.Secondly,the image is decomposed into texture layer and cartoon layer,and only the cartoon layer with the main features of the image is retained.Then,the improved context-aware saliency algorithm is applied to obtain the saliency feature of the image cartoon layer,so that the defects with high saliency features are separated from the background with low saliency features.Finally,the K-means clustering algorithm is utilized to highlight defects and complete defect detection.Experiments show that the proposed method achieves a high average recall rate for star,box and dot pattern fabrics,and the average recall precision effect of the proposed method is superior to that of the existing methods.
[1] TSAI I S,LIN C H,LIN J J.Applying an Artificial Neural Network to Pattern Recognition in Fabric Defects.Textile Research Journal,1995,65(3):123-130.
[2] CHETVERIKOV D,HANBURY A.Finding Defects in Texture Using Regularity and Local Orientation.Pattern Recognition,2002,35(10):2165-2180.
[3] CHAN C H,PANG G K H.Fabric Defect Detection by Fourier Analysis.IEEE Transactions on Industry Application,2000,36(5):1267-1276.
[4] YANG X Z,PANG G K H,YUNG N H C.Discriminative Fabric Defect Detection Using Adaptive Wavelets.Optical Engineering,2002,41(12):3116-3126.
[5] MAK K L,PENG P.An Automated Inspection System for Textile Fabrics Based on Gabor Filters.Robotics and Computer-Integrated Manufacturing,2008,24(3):359-369.
[6] COHEN F S,FAN Z G,ATTALI S.Automate Inspection of Textile Fabrics Using Textural Models.IEEE Transactions on Pattern Ana-lysis and Machine Intelligence,1991,13(8):803-808.
[7] ZHANG Y,LU Z Y,LI J.Fabric Defect Classification Using Radial Basis Function Network.Pattern Recognition Letters,2010,31(13):2033-2042.
[8] CAO J J,WANG N N,ZHANG J,et al.Detection of Varied Defects in Diverse Fabric Images via Modified RPCA with Noise Term and Defect Prior.International Journal of Clothing Science and Technology,2016,28(4):516-529.
[9] NGAN H Y T,PANG G K H.Novel Method for Patterned Fabric Inspection Using Bollinger Bands.Optical Engineering,2006,45(8):087202-1-087202-15.
[10] CHANG X Z,GU C X,LIANG J Z,et al.Fabric Defect Detection Based on Pattern Template Correction.Mathematical Problems in Engineering,2018.DOI:10.1155/2018/3709821.
[11] TSANG C S C,NGAN H Y T,PANG G K H.Fabric Inspection Based on the Elo Rating Method.Pattern Recognition,2016,51(4):378-394.
[12] 纪 旋,梁久祯,侯振杰,等.基于模板校正与低秩分解的纺织品瑕疵检测方法.模式识别与人工智能,2019,32(3):268-277.
(JI X,LIANG J Z,HOU Z J,et al.Fabric Defect Detection Based on Template Correction and Low-Rank Decomposition.Pa-ttern Recognition and Artificial Intelligence,2019,32(3):268-277.)
[13] 刘 威,常兴治,梁久祯,等.基于局部最优分析的纺织品瑕疵检测方法.模式识别与人工智能,2018,31(2):182-189.
(LIU W,CHANG X Z,LIANG J Z,et al.Fabric Defect Detection Based on Local Optimum Analysis.Pattern Recognition and Artificial Intelligence,2018,31(2):182-189.)
[14] 梁久祯,顾程熙,常兴治.基于相似关系的纺织品瑕疵检测方法.模式识别与人工智能,2017,30(5):456-464.
(LIANG J Z,GU C X,CHANG X Z.Fabric Defect Detection Based on Similarity Relation.Pattern Recognition and Artificial Intelligence,2017,30(5):456-464.)
[15] 杨 达,狄 岚,赵树志,等.基于结构相似性与模板校正的织物瑕疵检测方法.智能系统学报,2020,15(3):475-483.
(YANG D,DI L,ZHAO S Z,et al.Fabric Defect Detection Based on Structural Similarity and Template Correction.CAAI Transactions on Intelligent Systems,2020,15(3):475-483.)
[16] LI M,WAN S H,DENG Z M,et al.Fabric Defect Detection Based on Saliency Histogram Features.Computational Intelligence,2019,35(2):517-534.
[17] IMAMOGLU N,LIN W S,FANG Y M.A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform.IEEE Transactions on Multimedia,2013,15(1):96-105.
[18] GOFERMAN S,ZELNIK-MANOR L,TAL A.Context-Aware Sa-liency Detection.IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(10):1915-1926.
[19] OSHER S,SOLÉ A,VESE L.Image Decomposition and Restoration Using Total Variation Minimization and the H-1 Norm.SIAM Journal of Multiscale Modeling and Simulation,2003,1(3):349-370.
[20] NG M K,NGAN H Y T,YUAN X M,et al.Patterned Fabric Inspection and Visualization by the Method of Image Decomposition.IEEE Transactions on Automation Science and Engineering,2014,11(3):943-947.
2020, Vol. 33 
