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Feature Extraction of fabric defects Based on Complex Contourlet Transform and Principal Component Analysis

Journal of Donghua University(English Edition) 2013年第4期30卷 282-286页

作者：吴一全万红叶志龙 College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Textile Science & Technology Ministry of EducationDonghua University Key Laboratory of Advanced Textile Materials and Manufacturing Technology Ministry of EducationZhejiang Sci-Tech University

To extract features of fabric defects effectively and reduce dimension of feature space,a feature extraction method of fabric defects based on complex contourlet transform （CCT） and principal component analysis （PCA） is ***,training samples of fabric defect images are decomposed by ***,PCA is applied in the obtained low-frequency component and part of highfrequency components to get a lower dimensional feature ***,components of testing samples obtained by CCT are projected onto the feature space where different types of fabric defects are distinguished by the minimum Euclidean distance method.A large number of experimental results show that,compared with PCA,the method combining wavdet low-frequency component with PCA （WLPCA）,the method combining contourlet transform with PCA （CPCA）,and the method combining wavelet low-frequency and highfrequency components with PCA （WPCA）,the proposed method can extract features of common fabric defect types *** recognition rate is greatly improved while the dimension is reduced.

关键词： fabric defects feature extraction complex contourlet transform(CCT) principal component analysis(PCA)CLC number:TP391.4 TS103.7Document code:AArticle ID:1672-5220(2013)04-0282-05

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Automatic fabric defects Inspection Machine

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Instrumentation 2021年第3期8卷 16-25页

作者： M A I M.Abhayarathne I U Atthanayake Department of Mechanical Engineering The Ope university of Sri LannkaNawalaNugegodaSri Lanka

The textile industry is one of the most important industries in Sri *** most of the textile garment factories the defects of the fabrics are detected *** manual textile quality control usually depends on eye ***,human visual assessment is drawn-out,tiring,and an exhausting errand,including perception,consideration and experience to recognize the fault *** precision of human visual assessment declines with dull positions and vast *** of the time slow,costly,and sporadic review is the *** this manner,the programmed automatic visual review safeguards both the fabric quality inspector and the *** examination has exhibited that Textile Defect Recognition System is fit for distinguishing fabrics’imperfections with endorsed exactness with *** some products 100%inspection is important to ensure the stipulated quality or *** classifications for the automated fabric inspection approaches are expanding as the work is vast and *** to the algorithm used,the texture analysis problem is classified into different *** are Structural,spectral,model-based methods,Unfortunately,the optimal plan does not yet exist for these vast numbers of applied methods,as each of them has some advantages and disadvantages.

关键词： fabric Inspection Convolution Neural Network fabric defects Automation

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